CN109766852B - Automatic medical service platform - Google Patents
Automatic medical service platform Download PDFInfo
- Publication number
- CN109766852B CN109766852B CN201910037860.5A CN201910037860A CN109766852B CN 109766852 B CN109766852 B CN 109766852B CN 201910037860 A CN201910037860 A CN 201910037860A CN 109766852 B CN109766852 B CN 109766852B
- Authority
- CN
- China
- Prior art keywords
- image
- equipment
- sub
- range
- size
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Landscapes
- Image Processing (AREA)
Abstract
In addition to the medical devices having to comply with internationally recognized standards, it is important that other such as basic performance and whether the power source employed is in compliance with specifications, as the health of the patient is directly or indirectly affected thereby. However, in the electronic medical devices related to patient care, clinical treatment, health condition monitoring, or image scanning, if the power supply fails to be powered on, powered off, or otherwise, the resulting power supply will directly affect the health of the patient, and even cause temporary or permanent harm to the patient. The invention relates to an automated medical service platform, comprising: the medical refrigeration equipment is arranged on one side of the operating table and comprises a refrigeration pump and a cold air pipeline, and the cold air pipeline is connected with the refrigeration pump; the instant camera is positioned near the medical refrigeration equipment, arranged on the shooting support and used for outputting instant shooting images. By the invention, more effective medical service can be provided for the patient.
Description
Technical Field
The invention relates to the field of medical equipment, in particular to an automatic medical service platform.
Background
In addition to the medical devices having to comply with internationally recognized standards, it is important that other such as basic performance and whether the power source employed is in compliance with specifications, as the health of the patient is directly or indirectly affected thereby. However, in the electronic medical devices related to patient care, clinical treatment, health condition monitoring, or image scanning, if the power supply fails to be powered on, powered off, or otherwise, the resulting power supply will directly affect the health of the patient, and even cause temporary or permanent harm to the patient.
Taking laboratory instruments or diagnostic equipment as an example, once a power supply is in trouble, medical staff cannot make correct diagnosis in time, and sometimes even need to do tests for many times, which wastes time and also increases mental burden of the medical staff and patients.
In addition, once the power supply of the medical equipment fails, even if the power supply does not immediately form a safety problem, the basic function of the medical equipment cannot be executed, so that a medical equipment developer not only needs to block design holes in the conception stage of the product, but also needs to continuously manage related risks in the whole life cycle of the product so as to prevent the equipment from failing.
Disclosure of Invention
The invention has at least the following three key points:
(1) the image to be processed is partitioned through histogram cluster analysis, and the self-adaptive target segmentation threshold range based on the noise amplitude is determined for each partitioned sub-image, so that the reliability of subsequent target identification can be improved;
(2) the reference size image is introduced to be compared with the size accuracy of the image after size correction processing, and the comparison is only carried out on the size accuracy of the upper left corner area, so that the operation resources are effectively saved, and the power consumption of equipment is reduced;
(3) the state of a shooting support provided with an instant camera is measured, whether the detection of the displacement of a shooting scene is started or not is determined, and the scene displacement is detected and then the scene displacement is prompted on site through a voice playing chip.
According to an aspect of the present invention, there is provided an automated medical services platform, the platform comprising:
medical refrigeration equipment sets up the one side at the operating table, including refrigeration pump and air conditioning pipeline, the air conditioning pipeline with the refrigeration pump is connected.
More specifically, in the automated medical services platform, further comprising:
the instant camera is positioned near the medical refrigeration equipment, arranged on the shooting support and used for outputting instant shooting images.
More specifically, in the automated medical services platform, further comprising:
the state measuring mechanism is arranged in the shooting support and comprises a speed measuring instrument and a static memory, wherein the static memory is used for storing a shooting background picture and a preset proportion threshold in advance and storing a plurality of line standard difference values, each line standard difference value is a numerical value obtained by performing standard difference operation on each pixel point gray value of a corresponding line of the shooting background picture, the speed measuring instrument is arranged in the support and used for detecting the speed numerical value of the motion of the support and sending a support motion signal when the detected speed numerical value exceeds the preset numerical value and sending a support static signal when the detected speed numerical value does not exceed the preset numerical value.
More specifically, in the automated medical services platform, further comprising:
the standard deviation comparison equipment is respectively connected with the state measuring mechanism and the instant camera, and is used for carrying out foreground stripping on the instant shot image to obtain an image to be analyzed when a bracket motion signal is received, carrying out standard deviation operation on each pixel point gray value of each line of the image to be analyzed to obtain a standard deviation value of a corresponding line to obtain a plurality of line standard deviation values of the image to be analyzed, matching each line standard deviation value of a shot background image with the line standard deviation value of the corresponding serial number line in the image to be analyzed based on the line serial number to obtain corresponding matching degree, determining the corresponding line serial number as a matching line when the matching degree is over-limit, calculating the proportion between the number of the matching lines and the vertical resolution of the instant shot image, and sending scene shift information when the proportion is less than a preset proportion threshold value, when the proportion is larger than or equal to a preset proportion threshold value, sending scene maintaining information;
the voice playing chip is connected with the standard deviation comparison equipment and is used for playing a voice prompt file corresponding to the scene shift information when the scene shift information is received;
the correction processing equipment is connected with the instant camera and used for receiving the instant shot image and executing size correction processing on the instant shot image so as to obtain and output a corresponding correction processing image;
the MMC storage equipment is used for pre-storing a reference size image, and the size accuracy of each area in the reference size image exceeds the limit;
the area comparison device is respectively connected with the correction processing device and the MMC storage device and is used for comparing the size accuracy of the upper left corner area in the correction processing image with the size accuracy of the upper left corner area of the reference size image, when the size accuracy of the upper left corner area in the correction processing image exceeds the size accuracy of the upper left corner area of the reference size image, a size accuracy standard-meeting signal is sent out, and when the size accuracy of the upper left corner area in the correction processing image does not exceed the size accuracy of the upper left corner area of the reference size image, a size accuracy standard-meeting signal is sent out;
the secondary correction device is connected with the area comparison device, is used for performing size correction on the correction processing image again to obtain a continuous correction image when receiving the size standard degree non-standard signal, and is also used for directly outputting the correction processing image as the continuous correction image when receiving the size standard degree standard signal;
the range adjusting device is connected with the secondary size correcting device and used for receiving the continuous corrected images and executing dynamic range lifting action on the continuous corrected images to obtain images subjected to the dynamic range lifting action and serve as range lifting images;
the parallel smoothing equipment is connected with the range adjusting equipment and used for receiving the range lifting image, dividing the range lifting image into blocks with corresponding block sizes on the basis of the distance between the definition level of the range lifting image and a preset lower limit definition level, selecting corresponding smoothing processing with different strengths on the basis of the random noise size of each block to obtain smooth blocks, and combining the obtained smooth blocks to obtain a smooth combined image; in the parallel smoothing device, the farther the resolution level of the range-enhanced image is from a preset lower-limit resolution level, the larger the corresponding block into which the range-enhanced image is divided on average, and in the interpolation processing device, the larger the random noise of each block is, the larger the selected smoothing processing strength is.
Detailed Description
Embodiments of the automated medical services platform of the present invention will be described in detail below.
The cryotherapy principle of the cryosurgery system is that ice crystals are rapidly formed inside and outside cells after temperature reduction, so that tumor cells are dehydrated and cracked. Meanwhile, the micro blood vessels are contracted by freezing, the blood flow is slowed down, micro thrombus is formed, the blood flow is blocked, and the tumor tissue is subjected to ischemic necrosis. After the tumor cells are repeatedly frozen and thawed, the cells are broken and the cell membranes are dissolved, so that the antigen in the cells and in a shielding state is released, an organism is stimulated to generate antibodies, and the immunity is improved.
In order to overcome the defects of the freezing technology in the current disease treatment, the invention builds an automatic medical service platform.
An automated medical services platform is shown according to an embodiment of the present invention comprising:
medical refrigeration equipment sets up the one side at the operating table, including refrigeration pump and air conditioning pipeline, the air conditioning pipeline with the refrigeration pump is connected.
Next, the detailed structure of the automated medical service platform of the present invention will be further described.
In the automated medical services platform, further comprising: the instant camera is positioned near the medical refrigeration equipment, arranged on the shooting support and used for outputting instant shooting images.
In the automated medical services platform, further comprising: the state measuring mechanism is arranged in the shooting support and comprises a speed measuring instrument and a static memory, wherein the static memory is used for storing a shooting background picture and a preset proportion threshold in advance and storing a plurality of line standard difference values, each line standard difference value is a numerical value obtained by performing standard difference operation on each pixel point gray value of a corresponding line of the shooting background picture, the speed measuring instrument is arranged in the support and used for detecting the speed numerical value of the motion of the support and sending a support motion signal when the detected speed numerical value exceeds the preset numerical value and sending a support static signal when the detected speed numerical value does not exceed the preset numerical value.
In the automated medical services platform, further comprising:
the standard deviation comparison equipment is respectively connected with the state measuring mechanism and the instant camera, and is used for carrying out foreground stripping on the instant shot image to obtain an image to be analyzed when a bracket motion signal is received, carrying out standard deviation operation on each pixel point gray value of each line of the image to be analyzed to obtain a standard deviation value of a corresponding line to obtain a plurality of line standard deviation values of the image to be analyzed, matching each line standard deviation value of a shot background image with the line standard deviation value of the corresponding serial number line in the image to be analyzed based on the line serial number to obtain corresponding matching degree, determining the corresponding line serial number as a matching line when the matching degree is over-limit, calculating the proportion between the number of the matching lines and the vertical resolution of the instant shot image, and sending scene shift information when the proportion is less than a preset proportion threshold value, when the proportion is larger than or equal to a preset proportion threshold value, sending scene maintaining information;
the voice playing chip is connected with the standard deviation comparison equipment and is used for playing a voice prompt file corresponding to the scene shift information when the scene shift information is received;
the correction processing equipment is connected with the instant camera and used for receiving the instant shot image and executing size correction processing on the instant shot image so as to obtain and output a corresponding correction processing image;
the MMC storage equipment is used for pre-storing a reference size image, and the size accuracy of each area in the reference size image exceeds the limit;
the area comparison device is respectively connected with the correction processing device and the MMC storage device and is used for comparing the size accuracy of the upper left corner area in the correction processing image with the size accuracy of the upper left corner area of the reference size image, when the size accuracy of the upper left corner area in the correction processing image exceeds the size accuracy of the upper left corner area of the reference size image, a size accuracy standard-meeting signal is sent out, and when the size accuracy of the upper left corner area in the correction processing image does not exceed the size accuracy of the upper left corner area of the reference size image, a size accuracy standard-meeting signal is sent out;
the secondary correction device is connected with the area comparison device, is used for performing size correction on the correction processing image again to obtain a continuous correction image when receiving the size standard degree non-standard signal, and is also used for directly outputting the correction processing image as the continuous correction image when receiving the size standard degree standard signal;
the range adjusting device is connected with the secondary size correcting device and used for receiving the continuous corrected images and executing dynamic range lifting action on the continuous corrected images to obtain images subjected to the dynamic range lifting action and serve as range lifting images;
the parallel smoothing equipment is connected with the range adjusting equipment and used for receiving the range lifting image, dividing the range lifting image into blocks with corresponding block sizes on the basis of the distance between the definition level of the range lifting image and a preset lower limit definition level, selecting corresponding smoothing processing with different strengths on the basis of the random noise size of each block to obtain smooth blocks, and combining the obtained smooth blocks to obtain a smooth combined image; in the parallel smoothing device, the farther the resolution level of the range-enhanced image is from a preset lower-limit resolution level, the larger the corresponding block into which the range-enhanced image is divided on average, and in the interpolation processing device, the larger the random noise of each block is, the larger the selected smoothing processing strength is;
the block processing equipment is connected with the parallel smoothing equipment and used for receiving the smooth merged image and segmenting the smooth merged image through histogram cluster analysis to obtain each subimage;
the noise amplitude detection device is connected with the block processing device and used for receiving each sub-image, carrying out noise type detection on each sub-image so as to obtain amplitudes of various types of noise, and determining the total noise amplitude of each sub-image based on the amplitudes of various types of noise and amplitude weights respectively corresponding to various types of noise;
the threshold selection device is respectively connected with the block processing device and the noise amplitude detection device and is used for receiving each sub-image and each total noise amplitude of each sub-image, and determining the human body segmentation threshold range of each sub-image based on the total noise amplitude of each sub-image, wherein the larger the total noise amplitude of each sub-image is, the smaller the width of the human body segmentation threshold range of each sub-image is;
the image segmentation device is connected with the threshold selection device and used for executing human body target segmentation processing based on the corresponding human body segmentation threshold on each sub-image to obtain corresponding sub-patterns and splicing the sub-patterns of all the sub-images to obtain each spliced pattern;
the target detection equipment is respectively connected with the pump body control equipment and the image segmentation equipment and is used for respectively carrying out human body contour detection on each spliced pattern so as to take the spliced image of the human body target with the shallowest depth of field as a target sub-image in one or more spliced patterns with detected human body contours;
and the pump body control equipment is connected with the refrigeration pump and used for adjusting the refrigeration gear of the refrigeration pump based on the total number of pixel points occupied by the target sub-image, and the more the total number of pixel points occupied by the target sub-image is, the higher the adjusted refrigeration gear is.
In the automated medical services platform: the area comparison equipment comprises accuracy receiving sub-equipment, accuracy comparison sub-equipment and signal output equipment, wherein the accuracy comparison sub-equipment is respectively connected with the accuracy receiving sub-equipment and the signal output equipment.
In the automated medical services platform: the range adjustment device is realized by a digital processing chip, a Harvard structure with separated programs and data is adopted in the digital processing chip, a hardware multiplier is arranged in the digital processing chip, and various digital processing control instructions are provided by adopting pipeline operation to respectively realize various digital signal processing algorithms.
In the automated medical services platform: the voice playing chip is also used for playing a voice prompt file corresponding to the scene maintaining information when the scene maintaining information is received.
In the automated medical services platform, further comprising: and the definition improving device is connected with the parallel smoothing device and used for performing definition improving operation on the range improving image before the parallel smoothing device performs smoothing processing on the range improving image, when the definition level of the range improving image is smaller than the preset lower limit definition level, inputting the range improving image after the definition improving operation is performed to the parallel smoothing device in place of the range improving image, and when the definition level of the range improving image is larger than or equal to the preset lower limit definition level, not performing the definition improving operation on the range improving image.
In the automated medical services platform, further comprising: and the DDR3 storage chip is connected with the parallel smoothing equipment and is used for pre-storing the preset lower limit definition grade.
In addition, DDR3 video memory can be regarded as an improved version of DDR2, which has many similarities, and mainly adopts an FBGA packaging mode of 144Pin ball-type pins. However, the DDR3 core is improved: the DDR3 video memory adopts 0.11 micron production technology, and the power consumption is obviously reduced compared with the DDR 2. In addition, the DDR3 video memory adopts the "Pseudo Open Drain" interface technology, and as long as the voltage is appropriate, the display chip can directly support the DDR3 video memory. Of course, the longer latency (CAS latency) of video memory particles has been a common problem of high frequency video memory, and DDR3 is no exception, with DDR3 having CAS latency of 5/6/7/8 compared to DDR2 of 3/4/5. Surprisingly, DDR3 has no dramatic technical advance over DDR2, but the performance advantage of DDR3 is still significant: (1) the power consumption and the heat generation are small: the training of DDR2 is absorbed, energy consumption and heat productivity are reduced on the basis of controlling cost, and DDR3 is more easily accepted by users and manufacturers. (2) The working frequency is higher: due to the fact that energy consumption is reduced, DDR3 can achieve higher working frequency, the defect of long delay time is made up to a certain degree, and meanwhile, the DDR3 can serve as one of selling points of the video card, which is already shown on the video card matched with the DDR3 video memory. (3) The overall cost of the display card is reduced: the DDR2 video memory granule specification is mostly 4M X32bit, and the 128MB video memory commonly used with middle and high-end video cards needs 8. The DDR3 video memory specification is mostly 8M X32bit, the single particle capacity is large, and the 128MB video memory can be formed by 4 particles. Therefore, the area of the display card PCB can be reduced, the cost can be effectively controlled, and in addition, the display memory power consumption can be further reduced after the particle number is reduced. (4) The universality is good: DDR3 has better compatibility with DDR2 than DDR is changed to DDR 2. Because the key characteristics such as pins, packaging and the like are not changed, the DDR3 video memory can be adopted by slightly modifying the display core matched with the DDR2 and the video card designed by a public edition, and the cost is greatly reduced for manufacturers. At present, DDR3 is widely applied to most middle and high-end display cards which are newly existed.
By adopting the automatic medical service platform, aiming at the technical problem that medical refrigeration equipment in the prior art cannot adaptively determine a refrigeration gear according to the size of the body of a patient, the automatic medical service platform is arranged on one side of an operating table through the medical refrigeration equipment and comprises a refrigeration pump and a cold air pipeline, and the cold air pipeline is connected with the refrigeration pump; the pump body control equipment is connected with the refrigeration pump and used for adjusting the refrigeration gear of the refrigeration pump based on the total number of pixel points occupied by the target sub-image, and the more the total number of pixel points occupied by the target sub-image is, the higher the adjusted refrigeration gear is; thereby solving the technical problem.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (6)
1. An automated medical services platform, comprising:
the medical refrigeration equipment is arranged on one side of the operating table and comprises a refrigeration pump and a cold air pipeline, and the cold air pipeline is connected with the refrigeration pump;
the instant camera is positioned near the medical refrigeration equipment, arranged on the shooting bracket and used for outputting instant shooting images;
the state measuring mechanism is arranged in the shooting support and comprises a speed measuring instrument and a static memory, the static memory is used for storing a shooting background image and a preset proportion threshold in advance and storing a plurality of line standard difference values, each line standard difference value is a numerical value obtained by performing standard difference operation on gray values of all pixel points of a corresponding line of the shooting background image, the speed measuring instrument is arranged in the support and used for detecting a speed numerical value of the motion of the support, sending a support motion signal when the detected speed numerical value exceeds the preset numerical value and sending a support static signal when the detected speed numerical value does not exceed the preset numerical value;
the standard deviation comparison equipment is respectively connected with the state measuring mechanism and the instant camera, and is used for carrying out foreground stripping on the instant shot image to obtain an image to be analyzed when a bracket motion signal is received, carrying out standard deviation operation on each pixel point gray value of each line of the image to be analyzed to obtain a standard deviation value of a corresponding line to obtain a plurality of line standard deviation values of the image to be analyzed, matching each line standard deviation value of a shot background image with the line standard deviation value of the corresponding serial number line in the image to be analyzed based on the line serial number to obtain corresponding matching degree, determining the corresponding line serial number as a matching line when the matching degree is over-limit, calculating the proportion between the number of the matching lines and the vertical resolution of the instant shot image, and sending scene shift information when the proportion is less than a preset proportion threshold value, when the proportion is larger than or equal to a preset proportion threshold value, sending scene maintaining information;
the voice playing chip is connected with the standard deviation comparison equipment and is used for playing a voice prompt file corresponding to the scene shift information when the scene shift information is received;
the correction processing equipment is connected with the instant camera and used for receiving the instant shot image and executing size correction processing on the instant shot image so as to obtain and output a corresponding correction processing image;
the MMC storage equipment is used for pre-storing a reference size image, and the size accuracy of each area in the reference size image exceeds the limit;
the area comparison device is respectively connected with the correction processing device and the MMC storage device and is used for comparing the size accuracy of the upper left corner area in the correction processing image with the size accuracy of the upper left corner area of the reference size image, when the size accuracy of the upper left corner area in the correction processing image exceeds the size accuracy of the upper left corner area of the reference size image, a size accuracy standard-meeting signal is sent out, and when the size accuracy of the upper left corner area in the correction processing image does not exceed the size accuracy of the upper left corner area of the reference size image, a size accuracy standard-meeting signal is sent out;
the secondary correction device is connected with the area comparison device, is used for performing size correction on the correction processing image again to obtain a continuous correction image when receiving the size standard degree non-standard signal, and is also used for directly outputting the correction processing image as the continuous correction image when receiving the size standard degree standard signal;
the range adjusting device is connected with the secondary size correcting device and used for receiving the continuous corrected images and executing dynamic range lifting action on the continuous corrected images to obtain images subjected to the dynamic range lifting action and serve as range lifting images;
the parallel smoothing equipment is connected with the range adjusting equipment and used for receiving the range lifting image, dividing the range lifting image into blocks with corresponding block sizes on the basis of the distance between the definition level of the range lifting image and a preset lower limit definition level, selecting corresponding smoothing processing with different strengths on the basis of the random noise size of each block to obtain smooth blocks, and combining the obtained smooth blocks to obtain a smooth combined image; in the parallel smoothing device, the farther the definition level of the range-enhanced image is from a preset lower limit definition level, the larger the corresponding block into which the range-enhanced image is divided on average, and in the interpolation processing device, the larger the random noise of each block is, the larger the selected smoothing processing strength is;
the block processing equipment is connected with the parallel smoothing equipment and used for receiving the smooth merged image and segmenting the smooth merged image through histogram cluster analysis to obtain each subimage;
the noise amplitude detection device is connected with the block processing device and used for receiving each sub-image, carrying out noise type detection on each sub-image so as to obtain amplitudes of various types of noise, and determining the total noise amplitude of each sub-image based on the amplitudes of various types of noise and amplitude weights respectively corresponding to various types of noise;
the threshold selection device is respectively connected with the block processing device and the noise amplitude detection device and is used for receiving each sub-image and each total noise amplitude of each sub-image, and determining the human body segmentation threshold range of each sub-image based on the total noise amplitude of each sub-image, wherein the larger the total noise amplitude of each sub-image is, the smaller the width of the human body segmentation threshold range of each sub-image is;
the image segmentation device is connected with the threshold selection device and used for executing human body target segmentation processing based on the corresponding human body segmentation threshold on each sub-image to obtain corresponding sub-patterns and splicing the sub-patterns of all the sub-images to obtain each spliced pattern;
the target detection equipment is respectively connected with the pump body control equipment and the image segmentation equipment and is used for respectively carrying out human body contour detection on each spliced pattern so as to take the spliced image of the human body target with the shallowest depth of field as a target sub-image in one or more spliced patterns with the detected human body contour;
and the pump body control equipment is connected with the refrigeration pump and used for adjusting the refrigeration gear of the refrigeration pump based on the total number of pixel points occupied by the target sub-image, and the more the total number of pixel points occupied by the target sub-image is, the higher the adjusted refrigeration gear is.
2. The automated medical services platform of claim 1, wherein:
the area comparison equipment comprises accuracy receiving sub-equipment, accuracy comparison sub-equipment and signal output equipment, wherein the accuracy comparison sub-equipment is respectively connected with the accuracy receiving sub-equipment and the signal output equipment.
3. The automated medical services platform of claim 2, wherein:
the range adjustment device is realized by a digital processing chip, a Harvard structure with separated programs and data is adopted in the digital processing chip, a hardware multiplier is arranged in the digital processing chip, and various digital processing control instructions are provided by adopting pipeline operation to respectively realize various digital signal processing algorithms.
4. The automated medical services platform of claim 3, wherein:
the voice playing chip is also used for playing a voice prompt file corresponding to the scene maintaining information when the scene maintaining information is received.
5. The automated medical services platform of claim 4, wherein the platform further comprises:
and the definition improving device is connected with the parallel smoothing device and used for performing definition improving operation on the range improving image before the parallel smoothing device performs smoothing processing on the range improving image, when the definition level of the range improving image is smaller than the preset lower limit definition level, inputting the range improving image after the definition improving operation is performed to the parallel smoothing device in place of the range improving image, and when the definition level of the range improving image is larger than or equal to the preset lower limit definition level, not performing the definition improving operation on the range improving image.
6. The automated medical services platform of claim 5, wherein the platform further comprises:
and the DDR3 storage chip is connected with the parallel smoothing equipment and is used for pre-storing the preset lower limit definition grade.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910037860.5A CN109766852B (en) | 2019-01-16 | 2019-01-16 | Automatic medical service platform |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910037860.5A CN109766852B (en) | 2019-01-16 | 2019-01-16 | Automatic medical service platform |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109766852A CN109766852A (en) | 2019-05-17 |
CN109766852B true CN109766852B (en) | 2020-05-26 |
Family
ID=66453968
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910037860.5A Expired - Fee Related CN109766852B (en) | 2019-01-16 | 2019-01-16 | Automatic medical service platform |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109766852B (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111107251A (en) * | 2019-10-10 | 2020-05-05 | 曹婷 | Signal compensation device based on communication content analysis |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102631245A (en) * | 2011-02-14 | 2012-08-15 | 中国科学院理化技术研究所 | Surgical robot system for cutting frozen tumor tissue by laser |
CN204133777U (en) * | 2014-09-03 | 2015-02-04 | 邱艳 | A kind of microcomputer for medical educational controls intelligent dissecting table |
CN204260781U (en) * | 2014-10-30 | 2015-04-15 | 杨涛 | Cardiovascular radiography hemostatic device |
CN107948431A (en) * | 2017-11-29 | 2018-04-20 | 韩劝劝 | A kind of method for the on-site identification for completing online runaway convict |
CN108364260A (en) * | 2017-11-24 | 2018-08-03 | 曹典 | A kind of extended pattern multi-functional mobile phone design method |
CN108769584A (en) * | 2018-05-26 | 2018-11-06 | 包仁妹 | A method of the on-site supervision based on desk main body |
CN108961211A (en) * | 2018-05-28 | 2018-12-07 | 李金平 | A kind of automatic protection method |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107801189B (en) * | 2017-11-13 | 2018-07-06 | 北京百卓网络技术有限公司 | A kind of instant number of cells distribution method |
-
2019
- 2019-01-16 CN CN201910037860.5A patent/CN109766852B/en not_active Expired - Fee Related
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102631245A (en) * | 2011-02-14 | 2012-08-15 | 中国科学院理化技术研究所 | Surgical robot system for cutting frozen tumor tissue by laser |
CN204133777U (en) * | 2014-09-03 | 2015-02-04 | 邱艳 | A kind of microcomputer for medical educational controls intelligent dissecting table |
CN204260781U (en) * | 2014-10-30 | 2015-04-15 | 杨涛 | Cardiovascular radiography hemostatic device |
CN108364260A (en) * | 2017-11-24 | 2018-08-03 | 曹典 | A kind of extended pattern multi-functional mobile phone design method |
CN107948431A (en) * | 2017-11-29 | 2018-04-20 | 韩劝劝 | A kind of method for the on-site identification for completing online runaway convict |
CN108769584A (en) * | 2018-05-26 | 2018-11-06 | 包仁妹 | A method of the on-site supervision based on desk main body |
CN108961211A (en) * | 2018-05-28 | 2018-12-07 | 李金平 | A kind of automatic protection method |
Also Published As
Publication number | Publication date |
---|---|
CN109766852A (en) | 2019-05-17 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107392910B (en) | Lung lobe segmentation method and device based on CT image | |
CN112767346B (en) | Multi-image-based full-convolution single-stage mammary image lesion detection method and device | |
US11521318B2 (en) | Method, apparatus and computer-readable medium for providing urinary stone information | |
CN109616195A (en) | The real-time assistant diagnosis system of mediastinum endoscopic ultrasonography image and method based on deep learning | |
Huggins et al. | The unexpandable lung | |
US11389133B2 (en) | Method and apparatus for follicular quantification in 3D ultrasound images | |
US20140213901A1 (en) | System & Method for Delineation and Quantification of Fluid Accumulation in EFAST Trauma Ultrasound Images | |
CN109766852B (en) | Automatic medical service platform | |
WO2008072157A2 (en) | Medical imaging system | |
US11026620B2 (en) | System and method for estimating acute cerebral infarction onset time | |
CN113313667A (en) | Benign tumor development trend evaluation system, computer device and storage medium | |
CN116579954B (en) | Intelligent enhancing method for ultra-high definition endoscope image | |
JP2007312810A (en) | Image processing device | |
Junejo et al. | A case of thoracic endometriosis syndrome presenting with recurrent catamenial pneumothorax | |
Galea et al. | What is the clinical presentation of adverse local tissue reaction in metal-on-metal hip arthroplasty? An MRI study | |
Sung et al. | The thoracic duct and the Fontan patient | |
CN116542883B (en) | Magnetic control capsule gastroscope image focus mucosa enhancement system | |
US20230215022A1 (en) | Image-based motion detection method | |
Sha et al. | The improved faster-RCNN for spinal fracture lesions detection | |
US11120554B2 (en) | Image diagnosis apparatus, image diagnosis method, and program | |
US20220245797A1 (en) | Information processing apparatus, information processing method, and information processing program | |
CN110604594A (en) | Hip joint imaging method and hip joint imaging system | |
US20020177760A1 (en) | Diagnosis of normal pressure hydrocephalus by automated processing of MR inages | |
CN109602453B (en) | Fetus pattern fuzzification processing platform | |
KR20200056871A (en) | lesion area detection device, lesion area detection method, and computer program |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20200428 Address after: 256600 No. seven, No. 515, the Yellow River Road, Shandong, Binzhou Applicant after: BINZHOU CITY PEOPLE'S Hospital Address before: 223800 Yixing Village Group 354, Hanshan Town, Shuyang County, Suqian City, Jiangsu Province Applicant before: Zhang Yurong |
|
TA01 | Transfer of patent application right | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20200526 Termination date: 20210116 |
|
CF01 | Termination of patent right due to non-payment of annual fee |