CN117216002B - Intelligent pathological resource archiving method and device, electronic equipment and storage medium - Google Patents
Intelligent pathological resource archiving method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention relates to the field of data processing, and discloses an intelligent pathological resource archiving method, an intelligent pathological resource archiving device, electronic equipment and a storage medium, wherein the method comprises the following steps: dividing a target idle space according to a preset space planning rule and a pathological sampling list; obtaining a pathological sampling result set in a preset area, and scanning the pathological sampling result set by using a pre-constructed pathological resource identification model to obtain sampling type information corresponding to each pathological sampling result in the pathological sampling result set; storing each pathological material drawing result into the target idle space according to each material drawing type information by utilizing a pre-constructed mechanical arm grabbing service, and recording the position information of each pathological material drawing result in the target idle space; and filling data into the pathological material list by utilizing the position information to obtain a pathological resource file list. The invention mainly aims to improve the efficiency of pathological resource archiving.
Description
Technical Field
The invention relates to an intelligent archiving method and device for pathological resources, electronic equipment and a storage medium, and belongs to the field of data processing.
Background
The pathological diagnosis refers to morphological observation and analysis of pathological tissues and cells obtained from a body, so that objective basis is provided for diagnosis, treatment and prevention of diseases, and the preservation process of pathological resources is particularly important.
At present, management work of wax blocks and slices in many laboratories is carried out manually by technicians, but tens of thousands of workload causes manual archiving to waste a great deal of time, and the management work is easy to make mistakes, which is not beneficial to integration and reuse of pathological data.
Disclosure of Invention
The invention provides an intelligent pathological resource archiving method, an intelligent pathological resource archiving device, electronic equipment and a storage medium, and mainly aims to improve the efficiency of pathological resource archiving.
In order to achieve the above purpose, the invention provides an intelligent archiving method for pathological resources, comprising the following steps:
calling a pre-constructed pathological material collection record set, and carrying out structural treatment on the pathological material collection record set to obtain a pathological material list;
according to a preset space planning rule and the pathological sampling list, space division is carried out on a preset pathological resource storage space to obtain a target idle space;
Obtaining a pathological sampling result set which is put into a preset area by a user, and scanning the pathological sampling result set by utilizing a pre-constructed pathological resource identification model to obtain sampling type information corresponding to each pathological sampling result in the pathological sampling result set;
storing each pathological material drawing result into the target idle space according to each material drawing type information by utilizing a pre-constructed mechanical arm grabbing service, and recording the position information of each pathological material drawing result in the target idle space;
and filling data into the pathological material list by utilizing the position information to obtain a pathological resource file list.
Optionally, the space division is performed on the pre-constructed pathological resource storage space according to a preset space planning rule and the pathological material list to obtain a target idle space, which includes:
clustering and dividing each pathological material in the pathological material list according to a preset space planning rule to obtain each cluster, and identifying the storage environment type corresponding to each cluster;
extracting a sub-storage space suitable for the storage environment type from a pre-constructed pathological resource storage space;
And carrying out space orthotopic division on the sub storage space according to the cluster size of the cluster in the sub storage space, thereby obtaining a target idle space.
Optionally, the scanning the pathological sampling result set by using a pre-constructed pathological resource identification model to obtain sampling type information corresponding to each pathological sampling result in the pathological sampling result set, including:
acquiring shooting images of each pathological material drawing result in the pathological material drawing result set, and performing Gaussian filtering treatment on the shooting images to obtain noise-reduction pathological material drawing images;
performing convolution operation on the noise-reduction pathological sampling image to obtain a convolution matrix set;
performing average pooling operation on the convolution matrix set to obtain a primary dimension reduction matrix set, and performing flattening dimension reduction operation on the primary dimension reduction matrix set to obtain an image feature sequence set;
performing full-connection classification judgment on each image feature sequence in the image feature sequence set to obtain primary type information and label text information corresponding to each pathological material drawing result;
judging whether the primary type information and the tag text information correspond or not;
When the primary type information and the tag text information do not correspond, a pre-constructed mechanical arm is utilized to grasp services, and a pathological sampling result with information not corresponding to the primary type information and the tag text information is output in an alarm mode;
and when the primary type information and the tag text information correspond to each other, integrating the primary type information and the tag text information to obtain material type information corresponding to each pathological material drawing result.
Optionally, the capturing service by using the pre-constructed mechanical arm stores each pathological sampling result in the target idle space according to each sampling type information, including:
the method comprises the steps of utilizing a pre-constructed mechanical arm to grasp services, and monitoring whether a preset area is empty or not in real time;
when the preset area is not empty, grabbing the grabbed objects in the preset area by using the mechanical arm connected with the mechanical arm grabbing service, and identifying the material drawing type information of the grabbed objects;
and identifying a storage environment type corresponding to the material type information, and storing the grabbed objects in the target idle space which accords with the storage environment type in the pathological resource storage space in a homeotropic manner according to the storage environment type.
Optionally, the calling the pre-constructed pathological material collection record set, and performing structural processing on the pathological material collection record set to obtain a pathological material list, including:
performing OCR (optical character recognition) table text recognition on each pathological material drawing record in the pre-constructed pathological material drawing record set to obtain a text word segmentation set corresponding to each pathological material drawing record;
performing stop word deletion operation on the text analysis set to obtain an effective text word segmentation set;
and filling corresponding fields of each text word segmentation set according to a preset field configuration rule to obtain a structured sequence corresponding to each pathological material selection record, and arranging the structured sequences to obtain a pathological material selection list.
Optionally, after the data filling is performed on the pathological material list by using the position information to obtain a pathological resource file list, the method further includes:
acquiring a pathological diagnosis result input by a pathologist, and identifying a keyword label in the pathological diagnosis result;
constructing an external key between the pathological diagnosis result and the pathological resource file list according to the keyword label, and constructing a data relationship between the pathological resource file list and the pathological diagnosis result by utilizing the external key;
And constructing a pathology management knowledge graph according to the data relationship, the pathology diagnosis result and the pathology resource file list, and visually outputting the pathology management knowledge graph.
Optionally, after the data filling is performed on the pathological material list by using the position information to obtain a pathological resource file list, the method further includes:
acquiring an extraction keyword input by a user, identifying a target pathological sampling result corresponding to the extraction keyword, and inquiring a storage address of the target pathological sampling result in the target idle space according to the pathological resource file list;
and extracting a target pathological sampling result from the storage address by using the mechanical arm grabbing service, and sending the target pathological sampling result to a preset output port.
In order to solve the above problems, the present invention also provides an intelligent pathological resource archiving apparatus, the apparatus comprising:
the space configuration module is used for calling a pre-constructed pathological material collection record set, carrying out structural treatment on the pathological material collection record set to obtain a pathological material list, and carrying out space division on a pre-constructed pathological resource storage space according to a preset space planning rule and the pathological material list to obtain a target idle space;
The pathological material obtaining information acquisition module is used for acquiring a pathological material obtaining result set which is put into a preset area by a user, and scanning the pathological material obtaining result set by utilizing a pre-constructed pathological resource identification model to obtain material obtaining type information corresponding to each pathological material obtaining result in the pathological material obtaining result set;
the pathological material taking storage module is used for utilizing a pre-constructed mechanical arm to grasp services, storing each pathological material taking result into the target idle space according to each material taking type information, and recording the position information of each pathological material taking result in the target idle space;
and the pathology information archiving module is used for filling data into the pathology material list by utilizing the position information to obtain a pathology resource archive list.
In order to solve the above-mentioned problems, the present invention also provides an electronic apparatus including:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to implement the intelligent archiving method for pathological resources described above.
In order to solve the above problems, the present invention further provides a computer readable storage medium having at least one instruction stored therein, the at least one instruction being executed by a processor in an electronic device to implement the above-described pathological resource intelligent archiving method.
Compared with the problems in the background art, the method and the device can be used for constructing a pathological material drawing list by carrying out text recognition and structuring treatment on a pathological material drawing record set, extracting effective text segmentation in pathological material drawing, and carrying out idle position division on a pre-constructed pathological resource storage space in advance according to the pathological material drawing list so as to obtain a target idle space; when a technician stores the pathological material drawing result, the pathological material drawing result is required to be placed in a preset area, and then the pre-constructed mechanical arm grabbing service stores the corresponding position according to the material drawing type information of the pathological material drawing result, so that intelligent management is realized; the information of the material drawing type can be identified through the graph neural network model, so that the identification efficiency and accuracy are improved, and the storage efficiency and accuracy are further improved. Therefore, the invention provides an intelligent pathological resource archiving method, an intelligent pathological resource archiving device, electronic equipment and a computer readable storage medium, which mainly aim to improve the efficiency of pathological resource archiving.
Drawings
FIG. 1 is a flow chart of a method for intelligent archiving of pathological resources according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a detailed function in the method for intelligent archiving of pathological resources according to an embodiment of the present invention;
FIG. 3 is a functional block diagram of an intelligent pathological resource filing device according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device for implementing the method for intelligently archiving pathological resources according to an embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The embodiment of the application provides an intelligent archiving method for pathological resources. The execution subject of the pathological resource intelligent archiving method includes, but is not limited to, at least one of a server, a terminal, and the like, which can be configured to execute the method provided by the embodiment of the application. In other words, the pathological resource intelligent archiving method can be executed by software or hardware installed on a terminal device or a server device. The service end includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.
Example 1:
referring to fig. 1, a flow chart of a method for intelligent archiving of pathological resources according to an embodiment of the present invention is shown. In this embodiment, the method for intelligently archiving pathological resources includes:
s1, calling a pre-constructed pathological material collection record set, and carrying out structural treatment on the pathological material collection record set to obtain a pathological material list.
In the embodiment of the invention, pathological diagnosis refers to morphological observation analysis of pathological tissues and cells taken from an organism, so that objective basis is provided for diagnosis, treatment and prevention of diseases.
In the process of sampling materials, doctors can use corresponding tools such as surgical knives, forceps and the like to cut or collect corresponding parts of the body of a patient according to the illness state and the needs, and sampling modes comprise biopsy, slicing, cytological smear and the like. The pathological material collection record is usually recorded by a doctor, and a pathological material collection record set is generated, wherein the pathological material collection record set comprises basic information of a patient, material collection positions, material collection modes, sample number and the like, and is described and explained in a pathological report.
In the embodiment of the invention, the pathological material drawing record is in a form of a form document, and needs to be structured to retain effective information.
In detail, in the embodiment of the present invention, the calling the pre-constructed pathological sampling record set and performing a structuring treatment on the pathological sampling record set to obtain a pathological sampling list includes:
performing OCR (optical character recognition) table text recognition on each pathological material drawing record in the pre-constructed pathological material drawing record set to obtain a text word segmentation set corresponding to each pathological material drawing record;
performing stop word deletion operation on the text analysis set to obtain an effective text word segmentation set;
and filling corresponding fields of each text word segmentation set according to a preset field configuration rule to obtain a structured sequence corresponding to each pathological material selection record, and arranging the structured sequences to obtain a pathological material selection list.
The invention can identify pathological sampling records which are handwritten or manually input by doctors through OCR table text recognition.
Furthermore, the stop words are used for automatically filtering certain words or words before or after processing natural language data in order to save storage space and improve search efficiency.
Further, in the embodiment of the present invention, the field configuration rule refers to a rule of field configuration with effective labeling for pathological resource management obtained according to clinical experience, where the fields include a target object (name, gender … …), sampling time, sampling mode (cutting, extracting, wiping … …), monitoring mode (slicing, biopsy, cytological smear … …), tissue area, and the like.
According to the embodiment of the invention, corresponding field filling is carried out on each text word segmentation set through a field configuration rule, and then the sequences of each pathological material drawing record in the pathological material drawing record set are arranged to obtain a pathological material drawing list.
S2, according to a preset space planning rule and the pathological material drawing list, space division is carried out on the preset pathological resource storage space, and a target idle space is obtained.
In the embodiment of the invention, the pathological resource storage space comprises a plurality of storage spaces in a laboratory, and the storage spaces can be moved, so that technicians can conveniently transfer and store at any time and at regular intervals. And the pathological resource storage space includes various types such as a type of environment of normal temperature, dry, low temperature, and the like.
In the embodiment of the invention, the pathological material is obtained after being fixed, dyed and the like for a long time, so that the method has a long time for planning the storage space. According to the embodiment of the invention, the vacancy required in the next day can be automatically arranged according to the sampling result in the evening of the previous day.
In detail, referring to fig. 2, in the embodiment of the present invention, according to a preset space planning rule and the pathological sampling list, space division is performed on a pre-constructed pathological resource storage space to obtain a target idle space, including:
s21, carrying out clustering division on each pathological material in the pathological material list according to a preset space planning rule to obtain each cluster, and identifying the storage environment type corresponding to each cluster;
s22, extracting a sub-storage space suitable for the storage environment type from the pre-constructed pathological resource storage space;
s23, performing space orthotopic division on the sub-storage space according to the cluster size of the cluster in the sub-storage space, so as to obtain a target free space.
The space planning rule refers to a rule that areas with different sizes are divided under different environments in a pathological resource storage space to store upcoming material drawing results and ensure higher space utilization rate.
In the embodiment of the invention, the pathological material in the pathological material list can be clustered and divided by a wax block, glass slide, temperature and humidity similarity clustering method, so that the most efficient storage mode is determined.
According to the embodiment of the invention, each cluster is obtained through clustering, the storage environment of each cluster is different, the size of each cluster is different, and the embodiment of the invention selects proper sub-storage space and divides the range according to the size and the type of the cluster, so that the target idle space is finally obtained.
S3, obtaining a pathological material drawing result set which is put into a preset area by a user, and scanning the pathological material drawing result set by utilizing a pre-constructed pathological resource identification model to obtain material drawing type information corresponding to each pathological material drawing result in the pathological material drawing result set.
In the embodiment of the invention, the pathological resource identification model is a pattern neural network identification model based on a transducer, and is used for identifying and positioning a drawing result according to the image characteristics and the label text characteristics on the image of the drawing result, and additionally judging whether a label corresponds to a drawing sample in a classification manner or not, so that the effectiveness of the label is improved.
In detail, in the embodiment of the present invention, the scanning the pathological sampling result set by using the pre-constructed pathological resource identification model to obtain sampling type information corresponding to each pathological sampling result in the pathological sampling result set includes:
Acquiring shooting images of each pathological material drawing result in the pathological material drawing result set, and performing Gaussian filtering treatment on the shooting images to obtain noise-reduction pathological material drawing images;
performing convolution operation on the noise-reduction pathological sampling image to obtain a convolution matrix set;
performing average pooling operation on the convolution matrix set to obtain a primary dimension reduction matrix set, and performing flattening dimension reduction operation on the primary dimension reduction matrix set to obtain an image feature sequence set;
performing full-connection classification judgment on each image feature sequence in the image feature sequence set to obtain primary type information and label text information corresponding to each pathological material drawing result;
judging whether the primary type information and the tag text information correspond or not;
when the primary type information and the tag text information do not correspond, a pre-constructed mechanical arm is utilized to grasp services, and a pathological sampling result with information not corresponding to the primary type information and the tag text information is output in an alarm mode;
and when the primary type information and the tag text information correspond to each other, integrating the primary type information and the tag text information to obtain material type information corresponding to each pathological material drawing result.
The Gaussian filtering is a method for carrying out weighted average on pixels in the vicinity of each pixel point, so that the influence of noise on a shot image can be reduced, and a noise-reduction pathological sampling image with higher image quality is obtained.
In the embodiment of the invention, the feature extraction is carried out on the noise reduction pathological material drawing image through a convolution kernel set, and then the dimension reduction operation is carried out on the extracted bottom data feature through the average pooling and flattening operation, so that an image feature sequence set is obtained. Wherein each convolution kernel in the set of convolution kernels is responsible for convolving a feature for tag identification, text identification, material identification, color identification, and the like; the principle of the pooling operation is that an input image or a feature map is divided into non-overlapping areas (generally rectangular areas), and then pixel values in each area are averaged to obtain a pooled value, so that the calculated amount and the parameter number can be reduced, and meanwhile, the integral features of the image or the feature map can be extracted. The flattening operation is a method for further reducing the dimension of the pooling result to one dimension and connecting the pooling result to obtain an image feature sequence set.
According to the embodiment of the invention, the image characteristic sequence set can be subjected to characteristic splicing and classification judgment through the fully connected network in the pathological resource identification model, which image characteristics are provided for an object in a shot image and which text characteristics are provided on a label, when primary type information and label text information do not correspond, alarm processing can be performed under the condition that label misattachment possibly occurs, and when the information is consistent, the information is integrated, so that the material type information is obtained.
S4, grabbing service by using a pre-constructed mechanical arm, storing each pathological material drawing result into the target idle space according to each material drawing type information, and recording the position information of each pathological material drawing result in the target idle space.
The mechanical arm grabbing service in the embodiment of the invention is a digital operation controller with a microprocessor and used for automatic control, and can load control instructions into a memory at any time to store and execute the control instructions.
According to the invention, the functions of identifying the target object and the target address, opening and closing the clamp and the like of the mechanical arm are realized by writing the program codes of the mechanical arm grabbing service.
In detail, in the embodiment of the present invention, the capturing service by using the pre-constructed mechanical arm stores each pathological sampling result in the target idle space according to each sampling type information, including:
the method comprises the steps of utilizing a pre-constructed mechanical arm to grasp services, and monitoring whether a preset area is empty or not in real time;
when the preset area is not empty, grabbing the grabbed objects in the preset area by using the mechanical arm connected with the mechanical arm grabbing service, and identifying the material drawing type information of the grabbed objects;
And identifying a storage environment type corresponding to the material type information, and storing the grabbed objects in the target idle space which accords with the storage environment type in the pathological resource storage space in a homeotropic manner according to the storage environment type.
The embodiment of the invention can monitor in real time through the mechanical arm grabbing service, grab the object and transfer the object. In addition, the embodiment of the invention can initialize the mechanical arm through a preset time period, thereby ensuring the accuracy of the mechanical arm.
And S5, data filling is carried out on the pathological material drawing list by utilizing the position information to obtain a pathological resource file list.
In the embodiment of the invention, after each pathological material is stored, in order to increase convenience in the subsequent use process and improve systematic management, data filling based on a storage address field is required to be carried out on the pathological material list, so as to obtain a pathological resource file list.
In still another embodiment of the present invention, after the data filling is performed on the pathological material list by using the location information, the method further includes:
acquiring a pathological diagnosis result input by a pathologist, and identifying a keyword label in the pathological diagnosis result;
Constructing an external key between the pathological diagnosis result and the pathological resource file list according to the keyword label, and constructing a data relationship between the pathological resource file list and the pathological diagnosis result by utilizing the external key;
and constructing a pathology management knowledge graph according to the data relationship, the pathology diagnosis result and the pathology resource file list, and visually outputting the pathology management knowledge graph.
According to the embodiment of the invention, the relevance among the tables in the pathological sampling process is realized through the method, and the management strength of technicians on data management is improved through the visualization of the knowledge graph, so that the intuitiveness of the subsequent processes such as big data is improved.
In addition, in another embodiment of the present invention, after the data filling is performed on the pathological material list by using the location information, the method further includes:
acquiring an extraction keyword input by a user, identifying a target pathological sampling result corresponding to the extraction keyword, and inquiring a storage address of the target pathological sampling result in the target idle space according to the pathological resource file list;
And extracting a target pathological sampling result from the storage address by using the mechanical arm grabbing service, and sending the target pathological sampling result to a preset output port.
In the embodiment of the invention, the preservation process of each pathological material is automatically completed, extraction is also needed under the conditions of follow-up verification, re-observation test and the like, and the calling efficiency is improved through the automatic process.
Compared with the problems in the background art, the method and the device can be used for constructing a pathological material drawing list by carrying out text recognition and structuring treatment on a pathological material drawing record set, extracting effective text segmentation in pathological material drawing, and carrying out idle position division on a pre-constructed pathological resource storage space in advance according to the pathological material drawing list so as to obtain a target idle space; when a technician stores the pathological material drawing result, the pathological material drawing result is required to be placed in a preset area, and then the pre-constructed mechanical arm grabbing service stores the corresponding position according to the material drawing type information of the pathological material drawing result, so that intelligent management is realized; the information of the material drawing type can be identified through the graph neural network model, so that the identification efficiency and accuracy are improved, and the storage efficiency and accuracy are further improved. Therefore, the intelligent pathological resource archiving method provided by the invention mainly aims to improve the efficiency of pathological resource archiving.
Example 2:
fig. 3 is a functional block diagram of an intelligent pathological resource filing device according to an embodiment of the present invention.
The intelligent pathological resource filing device 100 can be installed in electronic equipment. According to the functions implemented, the intelligent pathological resource filing device 100 may include a spatial configuration module 101, a pathological material information acquisition module 102, a pathological material storage module 103, and a pathological information filing module 104. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
The space configuration module 101 is configured to call a pre-constructed pathological sampling record set, perform structural processing on the pathological sampling record set to obtain a pathological sampling list, and perform space division on a pre-constructed pathological resource storage space according to a preset space planning rule and the pathological sampling list to obtain a target idle space;
the pathological material information obtaining module 102 is configured to obtain a pathological material result set that a user puts in a preset area, and scan the pathological material result set by using a pre-constructed pathological resource identification model to obtain material type information corresponding to each pathological material result in the pathological material result set;
The pathological material taking storage module 103 is configured to utilize a pre-constructed mechanical arm to grasp a service, store each pathological material taking result into the target idle space according to each material taking type information, and record the position information of each pathological material taking result in the target idle space;
the pathology information archiving module 104 is configured to fill the pathology material list with data by using each piece of the location information, so as to obtain a pathology resource archive list.
In detail, the modules in the intelligent pathological resource filing device 100 in the embodiment of the present invention use the same technical means as the intelligent pathological resource filing method described in fig. 1 and fig. 2, and can produce the same technical effects, which are not described herein.
Example 3:
fig. 4 is a schematic structural diagram of an electronic device for implementing an intelligent archiving method for pathological resources according to an embodiment of the present invention.
The electronic device 1 may comprise a processor 10, a memory 11, a bus 12 and a communication interface 13, and may further comprise a computer program, such as a pathology resource intelligent archiving program, stored in the memory 11 and executable on the processor 10.
The memory 11 includes at least one type of readable storage medium, including flash memory, a mobile hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. The memory 11 may in other embodiments also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used not only for storing application software installed in the electronic device 1 and various data, such as codes of a pathology resource intelligent archiving program, etc., but also for temporarily storing data that has been output or is to be output.
The processor 10 may be comprised of integrated circuits in some embodiments, for example, a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged with the same or different functions, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, combinations of various control chips, and the like. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects various components of the entire electronic device using various interfaces and lines, and executes various functions of the electronic device 1 and processes data by running or executing programs or modules (e.g., pathology resource intelligent archiving programs, etc.) stored in the memory 11, and calling data stored in the memory 11.
The bus may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory 11 and at least one processor 10 etc.
Fig. 4 shows only an electronic device with components, it being understood by a person skilled in the art that the structure shown in fig. 4 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than shown, or may combine certain components, or may be arranged in different components.
For example, although not shown, the electronic device 1 may further include a power source (such as a battery) for supplying power to each component, and preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management, and the like are implemented through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device 1 may further include various sensors, bluetooth modules, wi-Fi modules, etc., which will not be described herein.
Further, the electronic device 1 may also comprise a network interface, optionally the network interface may comprise a wired interface and/or a wireless interface (e.g. WI-FI interface, bluetooth interface, etc.), typically used for establishing a communication connection between the electronic device 1 and other electronic devices.
The electronic device 1 may optionally further comprise a user interface, which may be a Display, an input unit, such as a Keyboard (Keyboard), or a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device 1 and for displaying a visual user interface.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
The intelligent archiving program of pathological resources stored in the memory 11 of the electronic device 1 is a combination of instructions that, when executed in the processor 10, can implement:
Calling a pre-constructed pathological material collection record set, and carrying out structural treatment on the pathological material collection record set to obtain a pathological material list;
according to a preset space planning rule and the pathological sampling list, space division is carried out on a preset pathological resource storage space to obtain a target idle space;
obtaining a pathological sampling result set which is put into a preset area by a user, and scanning the pathological sampling result set by utilizing a pre-constructed pathological resource identification model to obtain sampling type information corresponding to each pathological sampling result in the pathological sampling result set;
storing each pathological material drawing result into the target idle space according to each material drawing type information by utilizing a pre-constructed mechanical arm grabbing service, and recording the position information of each pathological material drawing result in the target idle space;
and filling data into the pathological material list by utilizing the position information to obtain a pathological resource file list.
Specifically, the specific implementation method of the above instructions by the processor 10 may refer to descriptions of related steps in the corresponding embodiments of fig. 1 to 3, which are not repeated herein.
Further, the modules/units integrated in the electronic device 1 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as separate products. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
The present invention also provides a computer readable storage medium storing a computer program which, when executed by a processor of an electronic device, can implement:
calling a pre-constructed pathological material collection record set, and carrying out structural treatment on the pathological material collection record set to obtain a pathological material list;
according to a preset space planning rule and the pathological sampling list, space division is carried out on a preset pathological resource storage space to obtain a target idle space;
obtaining a pathological sampling result set which is put into a preset area by a user, and scanning the pathological sampling result set by utilizing a pre-constructed pathological resource identification model to obtain sampling type information corresponding to each pathological sampling result in the pathological sampling result set;
Storing each pathological material drawing result into the target idle space according to each material drawing type information by utilizing a pre-constructed mechanical arm grabbing service, and recording the position information of each pathological material drawing result in the target idle space;
and filling data into the pathological material list by utilizing the position information to obtain a pathological resource file list.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (9)
1. An intelligent archiving method for pathological resources, which is characterized by comprising the following steps:
calling a pre-constructed pathological material collection record set, and carrying out structural treatment on the pathological material collection record set to obtain a pathological material list;
according to a preset space planning rule and the pathological sampling list, space division is carried out on a preset pathological resource storage space to obtain a target idle space; the space division is carried out on the pre-constructed pathological resource storage space according to a preset space planning rule and the pathological material list to obtain a target idle space, which comprises the following steps:
Clustering and dividing each pathological material in the pathological material list according to a preset space planning rule to obtain each cluster, and identifying the storage environment type corresponding to each cluster;
extracting a sub-storage space suitable for the storage environment type from a pre-constructed pathological resource storage space;
according to the cluster size of the cluster in the sub storage space, carrying out space orthotopic division on the sub storage space to obtain a target idle space;
obtaining a pathological sampling result set which is put into a preset area by a user, and scanning the pathological sampling result set by utilizing a pre-constructed pathological resource identification model to obtain sampling type information corresponding to each pathological sampling result in the pathological sampling result set;
storing each pathological material drawing result into the target idle space according to each material drawing type information by utilizing a pre-constructed mechanical arm grabbing service, and recording the position information of each pathological material drawing result in the target idle space;
and filling data into the pathological material list by utilizing the position information to obtain a pathological resource file list.
2. The method for intelligently archiving pathological resources according to claim 1, wherein the scanning the pathological material result set by using the pre-constructed pathological resource identification model to obtain material type information corresponding to each pathological material result in the pathological material result set comprises:
acquiring shooting images of each pathological material drawing result in the pathological material drawing result set, and performing Gaussian filtering treatment on the shooting images to obtain noise-reduction pathological material drawing images;
performing convolution operation on the noise-reduction pathological sampling image to obtain a convolution matrix set;
performing average pooling operation on the convolution matrix set to obtain a primary dimension reduction matrix set, and performing flattening dimension reduction operation on the primary dimension reduction matrix set to obtain an image feature sequence set;
performing full-connection classification judgment on each image feature sequence in the image feature sequence set to obtain primary type information and label text information corresponding to each pathological material drawing result;
judging whether the primary type information and the tag text information correspond or not;
when the primary type information and the tag text information do not correspond, a pre-constructed mechanical arm is utilized to grasp services, and a pathological sampling result with information not corresponding to the primary type information and the tag text information is output in an alarm mode;
And when the primary type information and the tag text information correspond to each other, integrating the primary type information and the tag text information to obtain material type information corresponding to each pathological material drawing result.
3. The method for intelligently archiving pathological resources according to claim 1, wherein said grasping a service by using a pre-constructed robot arm, storing each of said pathological material-taking results into said target space according to each of said material-taking type information, comprises:
the method comprises the steps of utilizing a pre-constructed mechanical arm to grasp services, and monitoring whether a preset area is empty or not in real time;
when the preset area is not empty, grabbing the grabbed objects in the preset area by using the mechanical arm connected with the mechanical arm grabbing service, and identifying the material drawing type information of the grabbed objects;
and identifying a storage environment type corresponding to the material type information, and storing the grabbed objects in the target idle space which accords with the storage environment type in the pathological resource storage space in a homeotropic manner according to the storage environment type.
4. The method for intelligently archiving pathological resources according to claim 1, wherein the steps of calling a pre-constructed pathological material record set, and performing structural processing on the pathological material record set to obtain a pathological material list include:
Performing OCR (optical character recognition) table text recognition on each pathological material drawing record in the pre-constructed pathological material drawing record set to obtain a text word segmentation set corresponding to each pathological material drawing record;
performing stop word deletion operation on the text analysis set to obtain an effective text word segmentation set;
and filling corresponding fields of each text word segmentation set according to a preset field configuration rule to obtain a structured sequence corresponding to each pathological material selection record, and arranging the structured sequences to obtain a pathological material selection list.
5. The method for intelligently archiving pathological resources according to claim 1, wherein the method further comprises, after the data filling is performed on the pathological material list by using the location information to obtain a pathological resource archive list:
acquiring a pathological diagnosis result input by a pathologist, and identifying a keyword label in the pathological diagnosis result;
constructing an external key between the pathological diagnosis result and the pathological resource file list according to the keyword label, and constructing a data relationship between the pathological resource file list and the pathological diagnosis result by utilizing the external key;
and constructing a pathology management knowledge graph according to the data relationship, the pathology diagnosis result and the pathology resource file list, and visually outputting the pathology management knowledge graph.
6. The method for intelligently archiving pathological resources according to claim 1, wherein the method further comprises, after the data filling is performed on the pathological material list by using the location information to obtain a pathological resource archive list:
acquiring an extraction keyword input by a user, identifying a target pathological sampling result corresponding to the extraction keyword, and inquiring a storage address of the target pathological sampling result in the target idle space according to the pathological resource file list;
and extracting a target pathological sampling result from the storage address by using the mechanical arm grabbing service, and sending the target pathological sampling result to a preset output port.
7. An intelligent pathological resource archiving apparatus, the apparatus comprising:
the space configuration module is used for calling a pre-constructed pathological material collection record set, carrying out structural treatment on the pathological material collection record set to obtain a pathological material list, and carrying out space division on a pre-constructed pathological resource storage space according to a preset space planning rule and the pathological material list to obtain a target idle space; the space division is carried out on the pre-constructed pathological resource storage space according to a preset space planning rule and the pathological material list to obtain a target idle space, which comprises the following steps:
Clustering and dividing each pathological material in the pathological material list according to a preset space planning rule to obtain each cluster, and identifying the storage environment type corresponding to each cluster;
extracting a sub-storage space suitable for the storage environment type from a pre-constructed pathological resource storage space;
according to the cluster size of the cluster in the sub storage space, carrying out space orthotopic division on the sub storage space to obtain a target idle space;
the pathological material obtaining information acquisition module is used for acquiring a pathological material obtaining result set which is put into a preset area by a user, and scanning the pathological material obtaining result set by utilizing a pre-constructed pathological resource identification model to obtain material obtaining type information corresponding to each pathological material obtaining result in the pathological material obtaining result set;
the pathological material taking storage module is used for utilizing a pre-constructed mechanical arm to grasp services, storing each pathological material taking result into the target idle space according to each material taking type information, and recording the position information of each pathological material taking result in the target idle space;
and the pathology information archiving module is used for filling data into the pathology material list by utilizing the position information to obtain a pathology resource archive list.
8. An electronic device, the electronic device comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of intelligent archiving of pathological resources according to any one of claims 1 to 6.
9. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the pathological resource intelligent archiving method according to any one of claims 1 to 6.
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