KR20230172106A - 딥러닝 모델 학습 방법, 딥러닝 모델을 이용한 안과질환 진단 방법 및 이를 수행하는 프로그램이 기록된 컴퓨터 판독이 가능한 기록매체 - Google Patents
딥러닝 모델 학습 방법, 딥러닝 모델을 이용한 안과질환 진단 방법 및 이를 수행하는 프로그램이 기록된 컴퓨터 판독이 가능한 기록매체 Download PDFInfo
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- KR20230172106A KR20230172106A KR1020220072515A KR20220072515A KR20230172106A KR 20230172106 A KR20230172106 A KR 20230172106A KR 1020220072515 A KR1020220072515 A KR 1020220072515A KR 20220072515 A KR20220072515 A KR 20220072515A KR 20230172106 A KR20230172106 A KR 20230172106A
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- 238000013136 deep learning model Methods 0.000 title claims abstract description 63
- 208000030533 eye disease Diseases 0.000 title claims abstract description 52
- 238000000034 method Methods 0.000 title claims abstract description 51
- 238000012014 optical coherence tomography Methods 0.000 claims abstract description 151
- 238000003745 diagnosis Methods 0.000 claims abstract description 34
- 201000010099 disease Diseases 0.000 claims abstract description 32
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 32
- 208000022873 Ocular disease Diseases 0.000 claims abstract description 22
- 238000002372 labelling Methods 0.000 claims abstract description 12
- 206010012688 Diabetic retinal oedema Diseases 0.000 claims description 51
- 201000011190 diabetic macular edema Diseases 0.000 claims description 51
- 208000002780 macular degeneration Diseases 0.000 claims description 27
- 238000013527 convolutional neural network Methods 0.000 claims description 26
- 206010064930 age-related macular degeneration Diseases 0.000 claims description 19
- 230000006403 short-term memory Effects 0.000 claims description 15
- 238000013528 artificial neural network Methods 0.000 claims description 8
- 238000013135 deep learning Methods 0.000 claims description 4
- 238000012360 testing method Methods 0.000 abstract description 7
- 230000006870 function Effects 0.000 description 27
- 230000004913 activation Effects 0.000 description 14
- 238000010586 diagram Methods 0.000 description 8
- 238000010801 machine learning Methods 0.000 description 7
- 238000013434 data augmentation Methods 0.000 description 6
- 239000011159 matrix material Substances 0.000 description 6
- 238000005457 optimization Methods 0.000 description 6
- 230000000694 effects Effects 0.000 description 5
- 230000007787 long-term memory Effects 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 238000010606 normalization Methods 0.000 description 4
- 238000012552 review Methods 0.000 description 4
- 206010025421 Macule Diseases 0.000 description 3
- 210000001525 retina Anatomy 0.000 description 3
- 208000005590 Choroidal Neovascularization Diseases 0.000 description 2
- 206010060823 Choroidal neovascularisation Diseases 0.000 description 2
- 230000002457 bidirectional effect Effects 0.000 description 2
- 238000002059 diagnostic imaging Methods 0.000 description 2
- 238000002405 diagnostic procedure Methods 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 230000007774 longterm Effects 0.000 description 2
- 238000007781 pre-processing Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 206010012689 Diabetic retinopathy Diseases 0.000 description 1
- 101001094700 Homo sapiens POU domain, class 5, transcription factor 1 Proteins 0.000 description 1
- 101000713275 Homo sapiens Solute carrier family 22 member 3 Proteins 0.000 description 1
- 102100035593 POU domain, class 2, transcription factor 1 Human genes 0.000 description 1
- 101710084414 POU domain, class 2, transcription factor 1 Proteins 0.000 description 1
- 108091006735 SLC22A2 Proteins 0.000 description 1
- 102100032417 Solute carrier family 22 member 2 Human genes 0.000 description 1
- 102100036929 Solute carrier family 22 member 3 Human genes 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000010191 image analysis Methods 0.000 description 1
- 230000005055 memory storage Effects 0.000 description 1
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- 230000003287 optical effect Effects 0.000 description 1
- 230000001151 other effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000004393 prognosis Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT 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
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- 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
- A61B3/14—Arrangements specially adapted for eye photography
-
- 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
- A61B3/14—Arrangements specially adapted for eye photography
- A61B3/145—Arrangements specially adapted for eye photography by video means
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Biophysics (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Pathology (AREA)
- Molecular Biology (AREA)
- General Physics & Mathematics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Radiology & Medical Imaging (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Computational Linguistics (AREA)
- Ophthalmology & Optometry (AREA)
- Heart & Thoracic Surgery (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Veterinary Medicine (AREA)
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Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| KR1020220072515A KR20230172106A (ko) | 2022-06-15 | 2022-06-15 | 딥러닝 모델 학습 방법, 딥러닝 모델을 이용한 안과질환 진단 방법 및 이를 수행하는 프로그램이 기록된 컴퓨터 판독이 가능한 기록매체 |
| PCT/KR2023/008178 WO2023244008A1 (fr) | 2022-06-15 | 2023-06-14 | Procédé d'entraînement de modèle d'apprentissage profond, procédé de diagnostic d'une maladie ophtalmologique à l'aide d'un modèle d'apprentissage profond et support d'enregistrement lisible par ordinateur sur lequel est enregistré un programme pour réaliser ceux-ci |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| KR1020220072515A KR20230172106A (ko) | 2022-06-15 | 2022-06-15 | 딥러닝 모델 학습 방법, 딥러닝 모델을 이용한 안과질환 진단 방법 및 이를 수행하는 프로그램이 기록된 컴퓨터 판독이 가능한 기록매체 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| KR20230172106A true KR20230172106A (ko) | 2023-12-22 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020220072515A KR20230172106A (ko) | 2022-06-15 | 2022-06-15 | 딥러닝 모델 학습 방법, 딥러닝 모델을 이용한 안과질환 진단 방법 및 이를 수행하는 프로그램이 기록된 컴퓨터 판독이 가능한 기록매체 |
Country Status (2)
| Country | Link |
|---|---|
| KR (1) | KR20230172106A (fr) |
| WO (1) | WO2023244008A1 (fr) |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2018171177A (ja) * | 2017-03-31 | 2018-11-08 | 大日本印刷株式会社 | 眼底画像処理装置 |
| KR101977645B1 (ko) * | 2017-08-25 | 2019-06-12 | 주식회사 메디웨일 | 안구영상 분석방법 |
| KR102250694B1 (ko) * | 2019-08-30 | 2021-05-11 | 서울대학교병원 | 안구 영상 내 혈관 분할을 이용한 자동 질환 판단 장치 및 그 방법 |
| JP2021164535A (ja) * | 2020-04-06 | 2021-10-14 | キヤノン株式会社 | 画像処理装置、画像処理方法、及びプログラム |
-
2022
- 2022-06-15 KR KR1020220072515A patent/KR20230172106A/ko unknown
-
2023
- 2023-06-14 WO PCT/KR2023/008178 patent/WO2023244008A1/fr unknown
Non-Patent Citations (1)
| Title |
|---|
| D. S. Kermany, M. Goldbaum, W. Cai, C. C. Valentim, H. Liang, S. L. Baxter, A. McKeown, G. Yang, X. Wu, F. Yan, et al., "Identifying medical diagnoses and treatable diseases by image-based deep learning," Cell, vol. 172, no. 5, pp. 1122-1131, 2018. |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2023244008A1 (fr) | 2023-12-21 |
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