CN111481164A - Method and device for acquiring fluorescence fundus picture - Google Patents
Method and device for acquiring fluorescence fundus picture Download PDFInfo
- Publication number
- CN111481164A CN111481164A CN201910071313.9A CN201910071313A CN111481164A CN 111481164 A CN111481164 A CN 111481164A CN 201910071313 A CN201910071313 A CN 201910071313A CN 111481164 A CN111481164 A CN 111481164A
- Authority
- CN
- China
- Prior art keywords
- image
- fundus
- color
- fluorescence
- map
- 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.)
- Granted
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/12—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for looking at the eye fundus, e.g. ophthalmoscopes
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Biophysics (AREA)
- Ophthalmology & Optometry (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Physics & Mathematics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Eye Examination Apparatus (AREA)
Abstract
The method for acquiring a fluorescence fundus image of the invention comprises the following steps: receiving a color eye fundus picture to be detected; acquiring color image characteristics of a color eye background image to be detected; coding the color image characteristics of the color eye fundus map to be detected according to the eye fundus image map conversion model, and converting the color eye fundus map to be detected into a fluorescence eye fundus map to be detected; and outputting a fluorescence fundus map.
Description
Technical Field
The present invention relates to a human body detection technology, and more particularly, to a method and apparatus for obtaining a fluorescence fundus image.
Background
Fluorescent fundus photography is used to examine vascular lesions behind the eye, such as diabetic retinopathy, vascular occlusive changes, macular lesions, and the like. Although fluorescence fundus photography is the most accurate method for diagnosing vascular lesions at the present stage, the examinee needs to wait for the mydriatic agent and the fluorescent agent to perform fluorescence fundus photography after the human body exerts the effect due to the assistance of the mydriatic agent and the fluorescent agent, so that the time required for each examination is quite long. Moreover, due to the chemical action of fluorescent agents, the subject is accompanied by the risk of nausea, vomiting, allergy, and even anaphylactic shock, and therefore, although the accuracy of fluorescence fundus photography is high, it is not the first choice for ophthalmic examination. Therefore, how to provide accurate image analysis while avoiding the lingering and uncomfortable condition of the subject is a subject of the skilled person.
Disclosure of Invention
The invention provides a method and a device for acquiring a fluorescence fundus map, which are used for converting a color fundus map into the fluorescence fundus map so that a testee does not need to experience the long-term and uncomfortable situations of fluorescence fundus photography.
The method for acquiring a fluorescence fundus image of the invention comprises the following steps: receiving a color eye fundus picture to be detected; acquiring color image characteristics of a color eye background image to be detected; coding the color image characteristics of the color eye fundus map to be detected according to the eye fundus image map conversion model, and converting the color eye fundus map to be detected into a fluorescence eye fundus map to be detected; and outputting a fluorescence fundus map.
The device for acquiring a fluorescence fundus map of the invention has an input unit, a storage unit and a processing unit. The input unit receives a color fundus picture to be tested. The storage unit stores an eye fundus image map conversion model. The processing unit is connected with the input unit and the storage unit. The processing unit also acquires the color image characteristics of the color fundus map to be detected, encodes the color image characteristics of the color fundus map to be detected according to the fundus image map conversion model, converts the color fundus map to be detected into a fluorescence fundus map to be detected, and outputs the fluorescence fundus map.
Based on the above, the method for acquiring a fluorescence fundus map and the device for acquiring a fluorescence fundus map of the present invention can convert the color fundus map to be measured into a fluorescence fundus map by means of coding. Therefore, a testee can obtain a corresponding fluorescence fundus image only by shooting the color fundus image to be tested, and the testee does not need to go through a lengthy fluorescence fundus photographing procedure and does not need to bear discomfort caused by a fluorescent agent.
In order to make the aforementioned and other features and advantages of the invention more comprehensible, embodiments accompanied with figures are described in detail below.
Drawings
FIG. 1 shows a schematic diagram of an apparatus for obtaining a fluorescence fundus image according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a method for obtaining a fluorescence fundus image according to an embodiment of the present invention;
fig. 3 is a flowchart illustrating a method for obtaining an eye fundus image map conversion model according to an embodiment of the present invention.
The reference numbers illustrate:
100: device for acquiring fluorescent fundus picture
110: input unit
120: memory cell
130: processing unit
S210 to S240, S310 to S330: step (ii) of
Detailed Description
In the following embodiments, the color fundus image and the color fundus image to be measured refer to color images of the corresponding human fundus taken without applying fluorescent agent. The fluorescence fundus map refers to an image of the corresponding human fundus taken with a fluorescent agent applied.
FIG. 1 shows a schematic diagram of an apparatus for acquiring a fluorescence fundus image according to an embodiment of the present invention. Referring to fig. 1, the apparatus 100 for obtaining a fluorescence fundus image at least has an input unit 110, a storage unit 120 and a processing unit 130.
The input unit 110 receives a color fundus image to be measured. In an embodiment of the present invention, the input unit 110 can be implemented as a fundus camera, i.e., a color fundus image to be measured is received by taking a picture of the fundus of the subject. In another embodiment of the present invention, the input unit 110 may be implemented by using a connection port for receiving digital data transmission, such as an RS-232 interface supporting various types of communication protocols, a Universal Serial Bus (USB), a Wireless fidelity (WiFi), an RJ45 interface, etc., but the invention is not limited thereto. That is, the apparatus 100 for acquiring a fluorescence fundus map may directly photograph or indirectly receive a color fundus map to be measured through transmission through the input unit 110, and the present invention is not limited thereto.
The storage unit 120 is used for storing various data and program codes required for the operation of the apparatus 100 for obtaining a fluorescence fundus map. Specifically, the storage unit 120 stores a fundus image map conversion model having parameters for converting a color fundus map into a corresponding fluorescence fundus map. In an embodiment of the invention, the hardware of the storage unit 120 may be various types of nonvolatile memories, such as storage devices of Hard Disk Drives (HDDs) and solid-state drives (SSDs), but the invention is not limited thereto.
In an embodiment of the present invention, the Processing Unit 130 is, for example, a Central Processing Unit (CPU), a Microprocessor (Microprocessor), a Digital Signal Processor (DSP), a Programmable controller, a Programmable logic Device (P L D), or the like, or a combination thereof, but the present invention is not limited thereto.
FIG. 2 is a flow chart illustrating a method for obtaining a fluorescence fundus image according to an embodiment of the present invention. Referring to fig. 2, the method for obtaining a fluorescence fundus map of this embodiment is at least suitable for the apparatus 100 for obtaining a fluorescence fundus map shown in fig. 1, but is not limited thereto. Details of the method to acquire a fluorescence fundus image will be explained below by means of fig. 1 and 2.
In step S210, the color fundus map to be tested is received by the input unit 110. Specifically, as described above, the input unit 110 may receive a color fundus image to be diagnosed by photographing a human fundus or by transmitting the color fundus image to be diagnosed.
In step S220, the color chart feature of the color eye-bottom chart to be measured is obtained by the processing unit 130. It should be noted that, in an embodiment of the present invention, in order to obtain the color map features quickly and accurately, the processing unit 130 further performs a pre-processing procedure on the color fundus map to be measured. For example, the preprocessing procedure is at least one of gray-scale processing, eye positioning and image enhancement.
The gray scale processing is to convert an image into gray scales so that the image features of the converted pixels can be highlighted. The eyeball positioning is to identify the position of the eyeball of the user so as to filter out the range which does not belong to the eyeground. The image enhancement is, for example, to smooth an image using a gaussian filter.
In step S230, the color map features of the color fundus map to be measured are encoded by the processing unit 130 according to the fundus image map conversion model in the storage unit 120 to convert the color fundus map to be measured into the fluorescence fundus map to be measured. Since the fundus image map conversion model has parameters and rules for converting the color fundus map into the fluorescence fundus map, the processing unit 130 can encode the color map features of the color fundus map to be detected according to the fundus image map conversion model, thereby outputting the corresponding fluorescence fundus map.
In step S240, a fluorescence fundus map is output by the processing unit 130. Therefore, the medical staff can judge whether the eyeground of the measured person corresponds to the eyeground situation of the potential disease or not through the output fluorescence eyeground graph, and then treat the measured person.
It should be noted that, in some embodiments of the present invention, the storage unit 120 can further store fluorescence map features related to diseases. Therefore, when acquiring the fluorescence map feature of the fluorescence map, the processing unit 130 can automatically determine the disease information corresponding to the fluorescence map according to the fluorescence map feature.
Fig. 3 is a flowchart illustrating a method for obtaining an eye fundus image map conversion model according to an embodiment of the present invention. A method for acquiring a fundus image conversion model will be described below with reference to fig. 1 and 3.
In step S310, the color fundus map and the corresponding fluorescence fundus map are received by the input unit 110. Specifically, the color fundus map and the fluorescence fundus map received by the input unit 110 are measurement results corresponding to the same subject. That is, both the color fundus image and the fluorescence fundus image are actually detected historically.
In step S320, the color map features in the color fundus map are acquired by the processing unit 130, and the color map features of the color fundus map are encoded to convert the color fundus map into an estimated fluorescence fundus map. In an embodiment of the present invention, the processing unit 130 encodes the color map feature of the color eye-bottom map according to an auto-encoder (auto encoder), but the present invention is not limited thereto.
In addition, in order to reduce the time consumed by encoding, the processing unit 130 also performs a preprocessing procedure on the color eye-bottom map. The content of the preprocessing procedure has been described above, and is not described herein again.
In step S330, the estimated fluorescence image characteristics in the fluorescence fundus map and the fluorescence image characteristics of the fluorescence fundus map are compared by the processing unit 130 to obtain difference characteristic information, and the fundus image map conversion model is trained according to the difference characteristic information.
That is, since the color fundus image and the fluorescence fundus image correspond to the same examinee, the fundus images generated by the same examinee who receives any test will be the same theoretically without considering various external factors such as the degree of image recognition, the fineness of the camera, and the like. Therefore, through the fundus image conversion model, the estimated fluorescence fundus image generated after the color fundus image is coded should have the same fluorescence image characteristics as the fluorescence fundus image. Therefore, the processing unit 130 can determine the difference between the fluorescence fundus image and the fluorescence fundus image to obtain difference characteristic information, adjust the error caused by encoding through the difference characteristic information, train and adjust the fundus image conversion model.
It is worth mentioning that in the initial stage of training the fundus image map conversion model, the parameters and rules of the fundus image map conversion model in the color fundus map and the fluorescence fundus map are not clear, so that the difference between the converted estimated fluorescence fundus map and the fluorescence fundus map is large. At this time, the processing unit 130 performs encoding in a small scale, for example, encoding based on color image features or an area. In the later period of training, the processing unit 130 can encode in a large scale manner, for example, the entire color fundus map, to improve the learning efficiency, because the parameters and rules between the color fundus map and the fluorescence fundus map are clear. Although the invention is not limited thereto.
In summary, the method for acquiring a fluorescence fundus map and the apparatus for acquiring a fluorescence fundus map of the present invention can convert the color fundus map to be measured into a fluorescence fundus map by means of encoding. Therefore, a testee can obtain a corresponding fluorescence fundus image only by shooting the color fundus image to be tested, and the testee does not need to go through a lengthy fluorescence fundus photographing procedure and does not need to bear discomfort caused by a fluorescent agent.
Although the present invention has been described with reference to the above embodiments, it should be understood that various changes and modifications can be made therein by those skilled in the art without departing from the spirit and scope of the invention.
Claims (10)
1. A method to acquire a fluorescence fundus map, comprising:
receiving a color eye fundus picture to be detected;
acquiring color image characteristics of the color eye background image to be detected;
coding the color image characteristics of the color eye base image to be detected according to an eye fundus image conversion model so as to convert the color eye base image to be detected into a fluorescence eye base image to be detected; and
and outputting the fluorescence fundus map.
2. The method for acquiring a fluorescence fundus map of claim 1, further comprising:
receiving a color fundus map and a corresponding fluorescence fundus map;
acquiring color image features in the color eye fundus image;
coding the color image characteristics of the color fundus image to convert the color fundus image into an estimated fluorescence fundus image;
comparing the fluorescent image characteristics in the estimated fluorescent fundus image with the fluorescent image characteristics of the fluorescent fundus image to acquire difference characteristic information; and
and training the fundus image map conversion model according to the difference characteristic information.
3. The method for acquiring a fluorescence fundus map according to claim 2, wherein in the step of encoding the color map features, comprises:
and coding the color image characteristics of the color eye bottom image according to a self-coding network.
4. The method for acquiring a fluorescence fundus map of claim 2, further comprising:
and executing a preprocessing program on at least one of the color eye base image to be detected and the color eye base image, wherein the preprocessing program comprises at least one of gray scale processing, eyeball positioning and image enhancement.
5. The method for acquiring a fluorescence fundus map of claim 1, further comprising:
and acquiring the fluorescence image characteristics of the fluorescence fundus image, and judging the corresponding disease information of the fluorescence fundus image according to the fluorescence image characteristics.
6. An apparatus for acquiring a fluorescence fundus image, comprising:
the input unit is used for receiving the color eye fundus diagram to be detected;
a storage unit which stores the fundus image conversion model; and
a processing unit connected to the input unit and the storage unit, wherein,
the processing unit also obtains the color image characteristics of the color eye bottom image to be detected, codes the color image characteristics of the color eye bottom image to be detected according to the eye bottom image conversion model, converts the color eye bottom image to be detected into a fluorescence eye bottom image to be detected, and outputs the fluorescence eye bottom image.
7. The apparatus for acquiring a fluorescence fundus map of claim 6, wherein,
the input unit also receives a color fundus map and a corresponding fluorescence fundus map,
the processing unit also acquires color image features in the color eye fundus image, encodes the color image features of the color eye fundus image to convert the color eye fundus image into an estimated fluorescence eye fundus image,
the processing unit is also used for comparing the fluorescent image characteristics in the estimated fluorescent fundus image with the fluorescent image characteristics of the fluorescent fundus image to acquire difference characteristic information, and training the fundus image conversion model according to the difference characteristic information.
8. The apparatus for acquiring a fluorescence fundus map of claim 7, wherein,
the processing unit encodes the color image features of the color eye-bottom image according to a self-encoding network.
9. The apparatus for acquiring a fluorescence fundus map of claim 7, wherein,
the processing unit further executes a preprocessing program on at least one of the color eye fundus image to be detected and the color eye fundus image, wherein the preprocessing program comprises at least one of gray scale processing, eyeball positioning and image strengthening.
10. The apparatus for acquiring a fluorescence fundus map of claim 6, wherein,
the processing unit also acquires the fluorescence image characteristics of the fluorescence fundus image and judges the corresponding disease information of the fluorescence fundus image according to the fluorescence image characteristics.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910071313.9A CN111481164B (en) | 2019-01-25 | 2019-01-25 | Method and device for acquiring fluorescence fundus picture |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910071313.9A CN111481164B (en) | 2019-01-25 | 2019-01-25 | Method and device for acquiring fluorescence fundus picture |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111481164A true CN111481164A (en) | 2020-08-04 |
| CN111481164B CN111481164B (en) | 2023-04-07 |
Family
ID=71793801
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910071313.9A Active CN111481164B (en) | 2019-01-25 | 2019-01-25 | Method and device for acquiring fluorescence fundus picture |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111481164B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI796784B (en) * | 2021-09-09 | 2023-03-21 | 宏碁智醫股份有限公司 | Method and apparatus for compensating image segmentation line |
Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002045328A (en) * | 2000-08-01 | 2002-02-12 | Fuji Photo Film Co Ltd | Device displaying fluorescent diagnostic image |
| US20020177780A1 (en) * | 2001-05-07 | 2002-11-28 | Fuji Photo Film Co., Ltd. | Fluorescence image display apparatus |
| US6615063B1 (en) * | 2000-11-27 | 2003-09-02 | The General Hospital Corporation | Fluorescence-mediated molecular tomography |
| JP2003283850A (en) * | 2002-03-20 | 2003-10-03 | Seiko Epson Corp | Color conversion apparatus, color conversion method, color conversion program, medium recorded with color conversion program, color conversion table creating method, color conversion table creating apparatus, color conversion table creating program, medium recorded with color conversion table creating program, color conversion table, and medium recorded with data of color conversion table |
| JP2004122690A (en) * | 2002-10-04 | 2004-04-22 | Mitsubishi Chemicals Corp | Production method for fluorescent printed matter, fluorescent printed matter, image forming material and authenticity detecting method |
| JP2006043289A (en) * | 2004-08-06 | 2006-02-16 | Olympus Corp | Endoscopic apparatus |
| EP2016889A1 (en) * | 2007-07-19 | 2009-01-21 | Nidek Co., Ltd. | Fundus imaging apparatus |
| CN102163103A (en) * | 2010-02-22 | 2011-08-24 | 宏碁股份有限公司 | Touch input method and touch input device |
| JP2012105233A (en) * | 2010-11-15 | 2012-05-31 | Konica Minolta Business Technologies Inc | Color conversion method, color conversion device and image formation system |
| JP2013208415A (en) * | 2012-02-28 | 2013-10-10 | Topcon Corp | Funduscopic device |
| CN104036521A (en) * | 2014-07-03 | 2014-09-10 | 重庆大学 | Novel retina eye fundus image segmenting method |
| CN104299242A (en) * | 2014-10-31 | 2015-01-21 | 中南大学 | Fluorescence angiography fundus image extraction method based on NGC-ACM |
| WO2016190607A1 (en) * | 2015-05-22 | 2016-12-01 | 고려대학교 산학협력단 | Smart glasses system for providing surgery assisting image and method for providing surgery assisting image by using smart glasses |
| CN106190099A (en) * | 2016-07-05 | 2016-12-07 | 太仓市东明化工有限公司 | A kind of glo-stick fluorescent agent |
| JP2016209147A (en) * | 2015-04-30 | 2016-12-15 | 株式会社ニデック | Fundus image processing device and fundus image processing program |
| US20170035379A1 (en) * | 2015-08-06 | 2017-02-09 | Covidien Lp | System and method for local three dimensional volume reconstruction using a standard fluoroscope |
-
2019
- 2019-01-25 CN CN201910071313.9A patent/CN111481164B/en active Active
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002045328A (en) * | 2000-08-01 | 2002-02-12 | Fuji Photo Film Co Ltd | Device displaying fluorescent diagnostic image |
| US6615063B1 (en) * | 2000-11-27 | 2003-09-02 | The General Hospital Corporation | Fluorescence-mediated molecular tomography |
| US20020177780A1 (en) * | 2001-05-07 | 2002-11-28 | Fuji Photo Film Co., Ltd. | Fluorescence image display apparatus |
| JP2003283850A (en) * | 2002-03-20 | 2003-10-03 | Seiko Epson Corp | Color conversion apparatus, color conversion method, color conversion program, medium recorded with color conversion program, color conversion table creating method, color conversion table creating apparatus, color conversion table creating program, medium recorded with color conversion table creating program, color conversion table, and medium recorded with data of color conversion table |
| JP2004122690A (en) * | 2002-10-04 | 2004-04-22 | Mitsubishi Chemicals Corp | Production method for fluorescent printed matter, fluorescent printed matter, image forming material and authenticity detecting method |
| JP2006043289A (en) * | 2004-08-06 | 2006-02-16 | Olympus Corp | Endoscopic apparatus |
| EP2016889A1 (en) * | 2007-07-19 | 2009-01-21 | Nidek Co., Ltd. | Fundus imaging apparatus |
| CN102163103A (en) * | 2010-02-22 | 2011-08-24 | 宏碁股份有限公司 | Touch input method and touch input device |
| JP2012105233A (en) * | 2010-11-15 | 2012-05-31 | Konica Minolta Business Technologies Inc | Color conversion method, color conversion device and image formation system |
| JP2013208415A (en) * | 2012-02-28 | 2013-10-10 | Topcon Corp | Funduscopic device |
| CN104036521A (en) * | 2014-07-03 | 2014-09-10 | 重庆大学 | Novel retina eye fundus image segmenting method |
| CN104299242A (en) * | 2014-10-31 | 2015-01-21 | 中南大学 | Fluorescence angiography fundus image extraction method based on NGC-ACM |
| JP2016209147A (en) * | 2015-04-30 | 2016-12-15 | 株式会社ニデック | Fundus image processing device and fundus image processing program |
| WO2016190607A1 (en) * | 2015-05-22 | 2016-12-01 | 고려대학교 산학협력단 | Smart glasses system for providing surgery assisting image and method for providing surgery assisting image by using smart glasses |
| US20170035379A1 (en) * | 2015-08-06 | 2017-02-09 | Covidien Lp | System and method for local three dimensional volume reconstruction using a standard fluoroscope |
| CN106190099A (en) * | 2016-07-05 | 2016-12-07 | 太仓市东明化工有限公司 | A kind of glo-stick fluorescent agent |
Non-Patent Citations (2)
| Title |
|---|
| 朱峰等: "颜色迁移在荧光薄片图像分析中的应用", 《计算机与数字工程》 * |
| 王玉等: "老年性黄斑变性的吲哚青绿脉络膜血管造影分析(附42例报告)", 《山东医药》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI796784B (en) * | 2021-09-09 | 2023-03-21 | 宏碁智醫股份有限公司 | Method and apparatus for compensating image segmentation line |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111481164B (en) | 2023-04-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| DE102007010757B4 (en) | Hand-held diagnostic systems and methods of using the same | |
| Davis et al. | Vision-based, real-time retinal image quality assessment | |
| KR101978548B1 (en) | Server and method for diagnosing dizziness using eye movement measurement, and storage medium storin the same | |
| KR20130136519A (en) | Diagnosis assitance system utilizing panoramic radiographs, and diagnosis assistance program utilizing panoramic radiographs | |
| US10832410B2 (en) | Computer system, method, and program for diagnosing subject | |
| KR102306279B1 (en) | Method for facilitating diagnosis of fundus image, apparatus therefor and system including the same | |
| CN111481164B (en) | Method and device for acquiring fluorescence fundus picture | |
| CN112465789A (en) | Detection method and system for retinopathy plus disease of premature infant | |
| CN111899848B (en) | Image recognition method and device | |
| KR20210038092A (en) | Apparatus and method for performing a simple urinalysis | |
| JP2021520982A (en) | Methods and systems for image collection and dimensional analysis for medical diagnostics | |
| US11213256B2 (en) | Biological image processing method and biological information detection device | |
| CN115953420B (en) | Deep learning network model and medical image segmentation method, device and system | |
| US11055846B2 (en) | Method for obtaining a fluorescent fundus image and a device thereof | |
| CN113409921A (en) | Medical imaging apparatus, system and method | |
| JP2020010804A (en) | Medical image diagnosis support apparatus, program, and medical image diagnosis support method | |
| CN111513673B (en) | Image-based growth state monitoring method, device, equipment and storage medium | |
| JP6774520B2 (en) | Rupture risk assessment method, assessment device and program for angioma | |
| CN112426170A (en) | Placenta thickness determination method, device, equipment and storage medium | |
| CN215954839U (en) | Medical imaging device and system | |
| JP6021404B2 (en) | VISION EVALUATION DEVICE, VISION EVALUATION METHOD, AND PROGRAM | |
| CN217907732U (en) | Detection device and medical instrument | |
| KR102473744B1 (en) | A method of diagnosing strabismus through the analysis of eyeball image from cover and uncovered test | |
| CN116798611B (en) | Device, method, equipment and medium for predicting benign and malignant quality of liver cirrhosis nodule | |
| CN117808865A (en) | Medical image processing device, medical image processing method, storage medium and electronic equipment |
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 | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20210804 Address after: The new Taiwan Chinese Taiwan New Taipei City Xizhi District Five Road No. 88 8 floor Applicant after: Acer Inc. Applicant after: Xie Yiting Address before: The new Taiwan Chinese Taiwan New Taipei City Xizhi District Five Road No. 88 8 floor Applicant before: Acer Inc. |
|
| CB03 | Change of inventor or designer information | ||
| CB03 | Change of inventor or designer information |
Inventor after: Chen Mingke Inventor after: Cai Jinhan Inventor after: Xie Yiting Inventor before: Chen Mingke Inventor before: Cai Jinhan |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |