CN110246135B - Follicle monitoring method, device, system and storage medium - Google Patents

Follicle monitoring method, device, system and storage medium Download PDF

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CN110246135B
CN110246135B CN201910662440.6A CN201910662440A CN110246135B CN 110246135 B CN110246135 B CN 110246135B CN 201910662440 A CN201910662440 A CN 201910662440A CN 110246135 B CN110246135 B CN 110246135B
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follicle
image
characteristic information
model
follicular
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CN110246135A (en
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牟晓勇
董莲丽
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New Famous Medical Beijing Technology Co ltd
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New Famous Medical Beijing Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/60Analysis of geometric attributes
    • G06T7/62Analysis of geometric attributes of area, perimeter, diameter or volume
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

The embodiment of the invention discloses a method, a device and a system for monitoring an egg bubble and a storage medium. The method comprises the following steps: identifying the follicle in the obtained ultrasonic image of the target monitoring part to obtain a follicle image and follicle characteristic information; and determining the development evaluation result of the follicle according to the follicle image and the follicle characteristic information. According to the scheme, the follicular image and the follicular characteristic information can be intelligently obtained through the ultrasonic image, so that the follicular development condition evaluation result can be accurately and objectively determined according to the follicular image and the follicular characteristic information, a user can know the follicular development condition without diagnosis of a doctor, and the evaluation result is more objective and accurate.

Description

Follicle monitoring method, device, system and storage medium
Technical Field
The embodiment of the invention relates to the technical field of medical treatment, in particular to a method, a device and a system for monitoring an egg bubble and a storage medium.
Background
At this stage, if a female user wants to know specific conditions of uterus, ovary, follicle and the like, the female reproductive system needs to be imaged through ultrasonic equipment, and an experienced doctor judges the current state of the reproductive system through observing an ultrasonic image.
However, the detection process of the ultrasound device is very complex, an experienced ultrasound practitioner is required to operate a professional ultrasound instrument to complete ultrasound examination and image acquisition, and the ultrasound image is observed to be judged and diagnosed according to the experience of the practitioner, so that the method has certain subjectivity and is likely to cause misjudgment. In addition, the monitored person needs to go to the hospital regularly to receive the examination, which is time-consuming and labor-consuming and can not meet the requirement of monitoring at any time.
Disclosure of Invention
The embodiment of the invention provides a follicle monitoring method, a device, a system and a storage medium, which are used for realizing intelligent and objective evaluation on follicle development conditions.
In a first aspect, an embodiment of the present invention provides an egg monitoring method, including:
identifying the follicle in the obtained ultrasonic image of the target monitoring part to obtain a follicle image and follicle characteristic information;
and determining the development evaluation result of the follicle according to the follicle image and the follicle characteristic information.
In a second aspect, an embodiment of the present invention provides an egg monitoring device, including:
the identification module is used for identifying the follicle in the obtained ultrasonic image of the target monitoring part to obtain a follicle image and follicle characteristic information;
and the evaluation module is used for determining the evaluation result of the development condition of the follicle according to the follicle image and the follicle characteristic information.
In a third aspect, an embodiment of the present invention further provides a system, where the system includes:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a method of follicle monitoring as described in any of the embodiments of the invention.
In a fourth aspect, embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a follicle monitoring method according to any of the embodiments of the present invention.
According to the embodiment of the invention, the follicular image and the follicular characteristic information can be accurately obtained through intelligent identification, and the follicular image and the follicular characteristic information are further evaluated, so that the evaluation result of the follicular development condition can be objectively and accurately determined, a user can know the development condition of the follicular without diagnosis of a doctor, the problem that conventional doctor experience judgment has subjectivity is solved, and the evaluation result is more objective and accurate.
Drawings
FIG. 1 is a flow chart of a method for monitoring oocytes according to one embodiment of the present invention;
fig. 2 is a schematic structural diagram of a portable follicle monitoring system according to a first embodiment of the invention;
FIG. 3 is a flow chart of a method for monitoring oocysts according to a second embodiment of the invention;
FIG. 4 is a schematic structural diagram of an egg monitoring device according to a third embodiment of the present invention;
fig. 5 is a schematic structural diagram of a system according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of an egg monitoring method according to a first embodiment of the present invention. The follicle monitoring method provided by this embodiment is applicable to a user monitoring the development of follicles, and may be specifically executed by a follicle monitoring device, where the device may be implemented by software and/or hardware, the device may be integrated in a system, the system may be a follicle monitoring portable system based on the ultrasound imaging principle, as shown in fig. 2, the system may include an ultrasound probe and a display device, the ultrasound probe and the display device may be connected in a wired or wireless manner, and the ultrasound probe stores therein a computer program and a model for performing follicle monitoring. Referring to fig. 1, the method of the embodiment of the present invention specifically includes:
and S110, identifying the follicle in the obtained ultrasonic image of the target monitoring part to obtain a follicle image and follicle characteristic information.
The target monitoring part can be the abdomen of a person to be monitored, and the ultrasonic image is an ultrasonic image acquired by the ultrasonic probe at the part to be monitored. In conventional monitoring, a physician generally holds an ultrasound probe to acquire an ultrasound image of a to-be-monitored part of a to-be-monitored person, and after the ultrasound image is obtained, the physician with abundant experience performs observation and analysis on the ultrasound image to identify a follicle image from the ultrasound image, and then further determines the size of the follicle image. However, the above method requires the user to go to a professional hospital to acquire the ultrasound image, and a doctor to make a diagnosis, which is time-consuming and tedious, cannot realize monitoring anytime and anywhere, and the doctor's experience and judgment are subjective, and the judgment result is not objective, and there may be a case of misjudgment. Therefore, in the embodiment of the invention, the portable ultrasonic monitoring system is used for acquiring the ultrasonic image of the part to be monitored of the user, and the user can hold the ultrasonic probe by himself to acquire the ultrasonic image of the part to be monitored, so that the monitoring at any time and any place is realized, the time of the user is saved, and the user is facilitated. After the portable ultrasound monitoring system obtains the ultrasound image, the follicle in the ultrasound image can be further identified, so that the follicle image in the ultrasound image is automatically identified, and the characteristic information of the follicle is obtained.
Optionally, identifying follicles in the obtained ultrasound image of the target monitoring site may include: and performing edge detection on the ultrasonic image, acquiring a follicle image and characteristic information of the follicle through the integrity of the edge and edge pixel analysis, and determining the number of the follicle.
And S120, determining the result of evaluating the development condition of the follicle according to the follicle image and the follicle characteristic information.
According to the follicular image and the follicular characteristic information, the development condition of the follicular can be further determined, so as to obtain the evaluation result of the development condition of the follicular, including the maturity, the tension, the ovulation time and the like of the follicular. For example, in the physiological period, the diameter of the follicle is less than 5mm, the follicle is immature, the tension is small, the ovulation time is long, after the physiological period, the diameter of the follicle is increased from 5mm to 22mm, the tension is large, the ovulation time is 10-15 days, before the physiological period, the diameter of the follicle is more than 22mm, the tension is large, and the ovulation time is up. And further analyzing the follicle characteristic information to obtain a follicle development condition evaluation result, thereby providing accurate and objective follicle development condition reference for a user.
Optionally, after determining the evaluation result of the follicular development condition according to the follicular image and the follicular characteristic information, the method further includes: displaying the ultrasonic image and the development condition evaluation result through a display device; and generating a pregnancy opportunity prompt according to the developmental condition evaluation result so as to assist pregnancy or contraception. For example, many users may still not be able to determine the conception time according to the evaluation result of the follicular development condition after obtaining the evaluation result of the follicular development condition, and therefore, in the embodiment of the present invention, the follicular monitoring system may intelligently generate a prompt of the conception time according to the evaluation result of the follicular development condition and display the prompt to the users, so that the users can sufficiently know the conception time corresponding to the current follicular development condition, and effectively assist in pregnancy or contraception according to the prompt of the conception time.
According to the technical scheme of the embodiment, a follicle in an obtained ultrasonic image of a target monitoring part is identified, and a follicle image and follicle characteristic information are obtained; and determining the development evaluation result of the follicle according to the follicle image and the follicle characteristic information. By intelligent identification, the follicular image and the follicular characteristic information can be accurately obtained, and the follicular image and the follicular characteristic information are further evaluated, so that the evaluation result of the follicular development condition can be objectively and accurately determined, a user can know the follicular development condition without diagnosis by a doctor, the problem that conventional doctor experience judgment has subjectivity is solved, and the evaluation result is more objective and accurate.
Example two
Fig. 3 is a flowchart of an egg monitoring method according to a second embodiment of the present invention. The present embodiment is optimized based on the above embodiments. Details which are not described in detail in the present embodiment are described in the above embodiments. Referring to fig. 3, the follicle monitoring method provided in this embodiment may include:
and S210, inputting the acquired ultrasonic image of the target monitoring part into a judgment model to obtain the physiological stage of the follicle.
Specifically, the acquired ultrasound image of the target monitoring part is input to the judgment model, so that the physiological stage of the follicle is obtained through the judgment model, and the accuracy and objectivity of the evaluation of the physiological stage of the follicle are improved.
Optionally, before the acquired ultrasound image of the target monitoring site is input to the judgment model, the method further includes: training the model by taking a preset number of historical ultrasonic images of the target monitoring part and corresponding physiological stages as training data to obtain a judgment model of the physiological stage of the follicle, wherein the physiological stage comprises a physiological stage before, a physiological stage after and a physiological stage; and training a model by taking the historical ultrasonic image, the corresponding physiological stage, the follicle image and the follicle characteristic information as training data to obtain the identification model. By establishing the judgment model and the identification model, the judgment of the physiological stage of the follicle and the identification of the follicle image can be automatically processed, and an experienced doctor is not required to complete the judgment, so that the objectivity and the real-time property of follicle evaluation are improved.
S220, inputting the ultrasonic image and the corresponding physiological stage into an identification model to obtain a follicle image.
Specifically, the follicular images corresponding to different physiological stages in the ultrasound image can be identified more accurately through the auxiliary identification of the physiological stage, so that the follicular images at different physiological stages can be further analyzed and evaluated.
And S230, determining follicle characteristic information according to the follicle image, wherein the follicle characteristic information comprises the outline of the follicle and the number of follicles.
Specifically, characteristic information of the follicle, such as specific position of the follicle, contour of the follicle, and number of follicles, can be further determined from the follicle image, so as to identify the follicle more accurately.
And S240, determining the size information of the follicle according to the outline of the follicle.
Specifically, size information of the follicle, for example, the diameter of the follicle can be calculated from the outline of the follicle, and the maturity of the follicle can be further evaluated from the diameter of the follicle.
And S250, inputting the follicle image and the follicle characteristic information into an evaluation model to obtain at least one of the maturity, the tension and the ovulation time of the follicle.
Specifically, information such as the maturity, the tension, and the ovulation time of the follicle can be obtained more accurately from the follicle image and the follicle characteristic information by model evaluation, and the current state of the follicle can be clarified from the information to evaluate the timing of conception.
Optionally, before inputting the follicle image and the follicle characteristic information into the evaluation model, the method further includes:
and training the model by taking the follicular images, the follicular characteristic information and the development condition evaluation results in the historical ultrasonic images of the preset number of target monitoring positions as training data to obtain an evaluation model.
According to the technical scheme of the embodiment of the invention, the acquired ultrasonic image of the target monitoring part is input to a judgment model to obtain the physiological stage of the follicle; inputting the ultrasonic image and the corresponding physiological stage into an identification model to obtain a follicle image; determining follicle characteristic information according to the follicle image, wherein the follicle characteristic information comprises the outline of the follicle and the number of follicles; determining the size information of the follicle according to the outline of the follicle. And inputting the follicle image and the follicle characteristic information into an evaluation model to obtain at least one of the maturity, the tension and the ovulation time of the follicle. Through model judgment, model identification and model evaluation, the development condition of the follicle can be more accurately and objectively obtained, so that an accurate follicle development condition evaluation result is provided for a user.
EXAMPLE III
Fig. 4 is a schematic structural diagram of an egg monitoring device according to a third embodiment of the present invention. The device is suitable for monitoring the follicular development of a user, and the method can be specifically executed by a follicular monitoring device, the device can be realized by software and/or hardware, the device can be integrated in a system, the system can be a portable follicular monitoring system based on an ultrasonic imaging principle, and the system comprises an ultrasonic probe and a display device, wherein a computer program and a model for carrying out follicular monitoring are stored in the ultrasonic probe. Referring to fig. 4, the apparatus specifically includes:
an identifying module 310, configured to identify a follicle in the obtained ultrasound image of the target monitoring portion, so as to obtain a follicle image and follicle characteristic information;
and an evaluation module 320, configured to determine an evaluation result of the follicular development according to the follicular image and the follicular characteristic information.
Optionally, the identifying module 310 includes:
the model judging unit is used for inputting the acquired ultrasonic image of the target monitoring part into a judging model to obtain the physiological stage of the follicle;
the model identification unit is used for inputting the ultrasonic image and the corresponding physiological stage into an identification model to obtain a follicle image;
a characteristic information determining unit, configured to determine follicle characteristic information from the follicle image, where the follicle characteristic information includes an outline of a follicle and a number of follicles;
a size information determination unit for determining size information of the follicle from the outline of the follicle.
Optionally, the method further includes:
the judgment model training module is used for training the model by taking the preset number of historical ultrasonic images of the target monitoring part and the corresponding physiological stages as training data to obtain a judgment model of the physiological stage of the follicle, wherein the physiological stage comprises a physiological period before, a physiological period after and a physiological period;
and the identification model training module is used for training a model by taking the historical ultrasonic image, the corresponding physiological stage, the follicle image and the follicle characteristic information as training data to obtain the identification model.
Optionally, the evaluation module 320 includes:
and the model evaluation unit is used for inputting the follicle image and the follicle characteristic information into the evaluation model to obtain at least one of the maturity, the tension and the ovulation time of the follicle.
Optionally, the method further includes:
and the evaluation model training module is used for training the model by taking the follicular images, the follicular characteristic information and the development condition evaluation results in the historical ultrasonic images with the preset number of the target monitoring positions as training data to obtain an evaluation model.
Optionally, the method further includes:
the display module is used for displaying the ultrasonic image and the development condition evaluation result through a display device;
and the prompting module is used for generating a pregnancy opportunity prompt according to the development condition evaluation result so as to assist pregnancy or contraception.
According to the technical scheme of the embodiment of the invention, the identification module identifies the follicle in the obtained ultrasonic image of the target monitoring part to obtain a follicle image and follicle characteristic information; and the evaluation module determines the evaluation result of the follicular development condition according to the follicular image and the follicular characteristic information. By intelligent identification, the follicular image and the follicular characteristic information can be accurately obtained, and the follicular image and the follicular characteristic information are further evaluated, so that the evaluation result of the follicular development condition can be objectively and accurately determined, a user can know the follicular development condition without diagnosis by a doctor, the problem that conventional doctor experience judgment has subjectivity is solved, and the evaluation result is more objective and accurate.
Example four
Fig. 5 is a schematic structural diagram of a system according to a fourth embodiment of the present invention. FIG. 5 illustrates a block diagram of an exemplary system 412 suitable for use in implementing embodiments of the present invention. The system 412 shown in fig. 5 is only an example and should not impose any limitations on the functionality or scope of use of embodiments of the present invention.
As shown in fig. 5, system 412 includes: one or more processors 416; the memory 428 is configured to store one or more programs that, when executed by the one or more processors 416, enable the one or more processors 416 to implement the follicle monitoring method provided by the embodiment of the invention, including:
identifying the follicle in the obtained ultrasonic image of the target monitoring part to obtain a follicle image and follicle characteristic information;
and determining the development evaluation result of the follicle according to the follicle image and the follicle characteristic information.
Is expressed in the form of a general-purpose system. The components of system 412 may include, but are not limited to: one or more processors or processors 416, a system memory 428, and a bus 418 that couples the various system components (including the system memory 428 and the processors 416).
Bus 418 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
System 412 typically includes a variety of computer system readable storage media. These storage media may be any available storage media that can be accessed by system 412 and includes both volatile and nonvolatile storage media, removable and non-removable storage media.
The system memory 428 may include computer system readable storage media in the form of volatile memory, such as Random Access Memory (RAM)430 and/or cache memory 432. The system 412 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 434 may be used to read from and write to non-removable, nonvolatile magnetic storage media (not shown in FIG. 5, commonly referred to as "hard drives"). Although not shown in FIG. 5, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical storage medium) may be provided. In these cases, each drive may be connected to bus 418 by one or more data storage media interfaces. Memory 428 can include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 440 having a set (at least one) of program modules 442 may be stored, for instance, in memory 428, such program modules 462 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 462 generally perform the functions and/or methodologies of the described embodiments of the invention.
The system 412 may also communicate with one or more external systems 416 (e.g., keyboard, pointing system, display 426, etc.), with one or more systems that enable a user to interact with the system 412, and/or with any systems (e.g., network card, modem, etc.) that enable the system 412 to communicate with one or more other computing systems. Such communication may occur via input/output (I/O) interfaces 422. Moreover, system 412 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via network adapter 420. As shown, network adapter 420 communicates with the other modules of system 412 over bus 418. It should be appreciated that although not shown in FIG. 5, other hardware and/or software modules may be used in conjunction with system 412, including but not limited to: microcode, system drives, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processor 416 executes various functional applications and data processing by executing at least one of other programs stored in the system memory 428, for example, to implement a method for monitoring an egg bubble according to an embodiment of the present invention, including:
identifying the follicle in the obtained ultrasonic image of the target monitoring part to obtain a follicle image and follicle characteristic information;
and determining the development evaluation result of the follicle according to the follicle image and the follicle characteristic information.
EXAMPLE five
An embodiment of the present invention further provides a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a method for monitoring an egg follicle, including:
identifying the follicle in the obtained ultrasonic image of the target monitoring part to obtain a follicle image and follicle characteristic information;
and determining the development evaluation result of the follicle according to the follicle image and the follicle characteristic information.
Computer storage media for embodiments of the present invention can take the form of any combination of one or more computer-readable storage media. The computer readable storage medium may be a computer readable signal storage medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In embodiments of the invention, the computer readable storage medium may be any tangible storage medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal storage medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal storage medium may also be any computer readable storage medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable storage medium may be transmitted using any appropriate storage medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, or the like, as well as conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or system. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments illustrated herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (9)

1. A method of monitoring an egg follicle, the method comprising:
identifying the follicle in the obtained ultrasonic image of the target monitoring part to obtain a follicle image and follicle characteristic information;
determining the development condition evaluation result of the follicle according to the follicle image and the follicle characteristic information;
identifying follicles in the obtained ultrasonic image of the target monitoring part to obtain a follicle image, wherein the identifying comprises the following steps:
inputting the obtained ultrasonic image of the target monitoring part into a judgment model to obtain the physiological stage of the follicle;
inputting the ultrasonic image and the corresponding physiological stage into an identification model to obtain a follicle image;
before the obtained ultrasonic image of the target monitoring part is input to the judgment model, the method further comprises the following steps:
training the model by taking a preset number of historical ultrasonic images of the target monitoring part and corresponding physiological stages as training data to obtain a judgment model of the physiological stage of the follicle, wherein the physiological stage comprises a physiological stage before, a physiological stage after and a physiological stage;
determining the developmental condition evaluation result of the follicle according to the follicle image and the follicle characteristic information, wherein the developmental condition evaluation result comprises the following steps:
and inputting the follicle image and the follicle characteristic information into an evaluation model to obtain at least one of the maturity, the tension and the ovulation time of the follicle.
2. The method of claim 1, wherein identifying follicles in the acquired ultrasound image of the target monitoring site to obtain follicle characterization information comprises:
determining follicle characteristic information according to the follicle image, wherein the follicle characteristic information comprises the outline of the follicle and the number of follicles;
determining the size information of the follicle according to the outline of the follicle.
3. The method of claim 2, wherein before inputting the acquired ultrasound image of the target monitoring site into the judgment model, further comprising:
and training a model by taking the historical ultrasonic image, the corresponding physiological stage, the follicle image and the follicle characteristic information as training data to obtain the identification model.
4. The method of claim 1, wherein inputting the image of the follicle and the information on the follicular characteristic into the evaluation model further comprises:
and training the model by taking the follicular images, the follicular characteristic information and the development condition evaluation results in the historical ultrasonic images of the preset number of target monitoring positions as training data to obtain an evaluation model.
5. The method according to claim 1, wherein the determining the evaluation result of the follicular development based on the follicular image and the follicular characteristic information further comprises:
displaying the ultrasonic image and the development condition evaluation result through a display device;
and generating a pregnancy opportunity prompt according to the developmental condition evaluation result so as to assist pregnancy or contraception.
6. An egg monitoring device, the device comprising:
the identification module is used for identifying the follicle in the obtained ultrasonic image of the target monitoring part to obtain a follicle image and follicle characteristic information;
the evaluation module is used for determining the evaluation result of the development condition of the follicle according to the follicle image and the follicle characteristic information;
the identification module comprises:
the model judging unit is used for inputting the acquired ultrasonic image of the target monitoring part into a judging model to obtain the physiological stage of the follicle;
the model identification unit is used for inputting the ultrasonic image and the corresponding physiological stage into an identification model to obtain a follicle image;
further comprising:
the judgment model training module is used for training the model by taking the preset number of historical ultrasonic images of the target monitoring part and the corresponding physiological stages as training data to obtain a judgment model of the physiological stage of the follicle, wherein the physiological stage comprises a physiological period before, a physiological period after and a physiological period;
the evaluation module comprises:
and the model evaluation unit is used for inputting the follicle image and the follicle characteristic information into the evaluation model to obtain at least one of the maturity, the tension and the ovulation time of the follicle.
7. The apparatus of claim 6, wherein the identification module comprises:
a characteristic information determining unit, configured to determine follicle characteristic information from the follicle image, where the follicle characteristic information includes an outline of a follicle and a number of follicles;
a size information determination unit for determining size information of the follicle from the outline of the follicle.
8. A system, characterized in that the system comprises:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a method of egg monitoring as claimed in any one of claims 1 to 5.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out a method of egg monitoring according to any one of claims 1 to 5.
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CN110693529B (en) * 2019-10-12 2021-07-13 深圳度影医疗科技有限公司 Ovary and/or follicle automatic measurement method based on two-dimensional image
WO2022140960A1 (en) * 2020-12-28 2022-07-07 深圳迈瑞生物医疗电子股份有限公司 Follicle tracking method and system
CN116919451A (en) * 2022-03-31 2023-10-24 深圳开立生物医疗科技股份有限公司 Follicle counting method and device, ultrasonic medical equipment and readable storage medium
CN115869014B (en) * 2023-02-09 2023-12-26 深圳迈瑞动物医疗科技股份有限公司 Ultrasonic imaging equipment for livestock and ultrasonic batch detection method for livestock

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101389964A (en) * 2005-10-24 2009-03-18 马纳瓦图生物技术投资有限公司(Mbil) Ovulation cycle monitoring and management
CN102475552A (en) * 2010-11-22 2012-05-30 天津智特安达科技有限公司 Detecting method for forecasting ovulatory period of woman
CN105496453A (en) * 2015-11-13 2016-04-20 武汉科技大学 Cattle ovarian follicle ultrasonic monitoring system and monitoring method for same
CN105943086A (en) * 2015-06-10 2016-09-21 湖南润泽医疗影像科技有限公司 Ultrasonic follicle inspection tester and automatic analysis method thereof
CN108985366A (en) * 2018-07-06 2018-12-11 武汉兰丁医学高科技有限公司 B ultrasound image recognition algorithm and system based on convolution depth network
WO2019009919A1 (en) * 2017-07-07 2019-01-10 Massachusetts Institute Of Technology System and method for automated ovarian follicular monitoring
WO2019072827A1 (en) * 2017-10-11 2019-04-18 Koninklijke Philips N.V. Intelligent ultrasound-based fertility monitoring
CN109727243A (en) * 2018-12-29 2019-05-07 无锡祥生医疗科技股份有限公司 Breast ultrasound image recognition analysis method and system

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN100467067C (en) * 2002-05-09 2009-03-11 厄尔特拉斯特有限责任公司 Medium for contrast enhancement or convenience for ultrasonic, endoscopic, and other medical examinations
CN103784167A (en) * 2014-02-13 2014-05-14 王艳 Ovulation monitor
CN104143193B (en) * 2014-08-07 2018-10-16 深圳开立生物医疗科技股份有限公司 Target object dividing method, apparatus and system in a kind of ultrasonoscopy
CN104267011A (en) * 2014-09-23 2015-01-07 中国科学院东北地理与农业生态研究所 Transgenic sheep oocyte screening method
DK3234112T3 (en) * 2014-12-19 2020-03-02 Univ Brussel Vrije IN VITRO MATURING A MAMMAL-CUMULUS OOCYTE COMPLEX

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101389964A (en) * 2005-10-24 2009-03-18 马纳瓦图生物技术投资有限公司(Mbil) Ovulation cycle monitoring and management
CN102475552A (en) * 2010-11-22 2012-05-30 天津智特安达科技有限公司 Detecting method for forecasting ovulatory period of woman
CN105943086A (en) * 2015-06-10 2016-09-21 湖南润泽医疗影像科技有限公司 Ultrasonic follicle inspection tester and automatic analysis method thereof
CN105496453A (en) * 2015-11-13 2016-04-20 武汉科技大学 Cattle ovarian follicle ultrasonic monitoring system and monitoring method for same
WO2019009919A1 (en) * 2017-07-07 2019-01-10 Massachusetts Institute Of Technology System and method for automated ovarian follicular monitoring
WO2019072827A1 (en) * 2017-10-11 2019-04-18 Koninklijke Philips N.V. Intelligent ultrasound-based fertility monitoring
CN108985366A (en) * 2018-07-06 2018-12-11 武汉兰丁医学高科技有限公司 B ultrasound image recognition algorithm and system based on convolution depth network
CN109727243A (en) * 2018-12-29 2019-05-07 无锡祥生医疗科技股份有限公司 Breast ultrasound image recognition analysis method and system

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