WO2022173232A3 - 병변의 발생 위험성을 예측하는 방법 및 시스템 - Google Patents
병변의 발생 위험성을 예측하는 방법 및 시스템 Download PDFInfo
- Publication number
- WO2022173232A3 WO2022173232A3 PCT/KR2022/002008 KR2022002008W WO2022173232A3 WO 2022173232 A3 WO2022173232 A3 WO 2022173232A3 KR 2022002008 W KR2022002008 W KR 2022002008W WO 2022173232 A3 WO2022173232 A3 WO 2022173232A3
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- occurrence
- lesion
- medical image
- predicting
- risk
- Prior art date
Links
- 230000003902 lesion Effects 0.000 title abstract 3
- 238000000034 method Methods 0.000 title abstract 3
- 238000010801 machine learning Methods 0.000 abstract 2
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
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- 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
- G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
-
- 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
-
- 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
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30068—Mammography; Breast
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30096—Tumor; Lesion
Abstract
본 개시는 적어도 하나의 프로세서에 의해 수행되는 병변의 발생 위험성을 예측하는 방법에 관한 것이다. 이 방법은, 대상체를 촬영한 의료 영상을 획득하는 단계, 기계학습 모델을 이용하여, 획득된 의료 영상으로부터 대상체에 병변이 발생할 가능성을 예측하는 단계 및 예측 결과를 출력하는 단계를 포함할 수 있다. 여기서, 기계학습 모델은, 복수의 학습 의료 영상 및 각 학습 의료 영상과 연관된 병변 발생 위험도가 학습된 모델일 수 있다.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US18/270,895 US20240071621A1 (en) | 2021-02-09 | 2022-02-09 | Method and system for predicting risk of occurrence of lesions |
EP22752992.2A EP4273881A2 (en) | 2021-02-09 | 2022-02-09 | Method and system for predicting risk of occurrence of lesion |
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR20210018405 | 2021-02-09 | ||
KR10-2021-0018405 | 2021-02-09 | ||
KR1020220017203A KR20220115081A (ko) | 2021-02-09 | 2022-02-09 | 병변의 발생 위험성을 예측하는 방법 및 시스템 |
KR10-2022-0017203 | 2022-02-09 |
Publications (2)
Publication Number | Publication Date |
---|---|
WO2022173232A2 WO2022173232A2 (ko) | 2022-08-18 |
WO2022173232A3 true WO2022173232A3 (ko) | 2022-10-06 |
Family
ID=82838018
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/KR2022/002008 WO2022173232A2 (ko) | 2021-02-09 | 2022-02-09 | 병변의 발생 위험성을 예측하는 방법 및 시스템 |
Country Status (2)
Country | Link |
---|---|
US (1) | US20240071621A1 (ko) |
WO (1) | WO2022173232A2 (ko) |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101857624B1 (ko) * | 2017-08-21 | 2018-05-14 | 동국대학교 산학협력단 | 임상 정보를 반영한 의료 진단 방법 및 이를 이용하는 장치 |
KR101898575B1 (ko) * | 2018-01-18 | 2018-09-13 | 주식회사 뷰노 | 진행성 병변에 대한 미래 상태를 예측하는 방법 및 이를 이용한 장치 |
KR20190046471A (ko) * | 2017-10-26 | 2019-05-07 | 삼성전자주식회사 | 의료 영상 처리 방법 및 그에 따른 의료 영상 처리 장치 |
KR20200089146A (ko) * | 2019-01-16 | 2020-07-24 | 삼성전자주식회사 | 의료 영상 처리 장치 및 방법 |
KR20200131020A (ko) * | 2019-05-13 | 2020-11-23 | (주)비주얼터미놀로지 | 의료기계 학습 시스템 |
-
2022
- 2022-02-09 WO PCT/KR2022/002008 patent/WO2022173232A2/ko active Application Filing
- 2022-02-09 US US18/270,895 patent/US20240071621A1/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101857624B1 (ko) * | 2017-08-21 | 2018-05-14 | 동국대학교 산학협력단 | 임상 정보를 반영한 의료 진단 방법 및 이를 이용하는 장치 |
KR20190046471A (ko) * | 2017-10-26 | 2019-05-07 | 삼성전자주식회사 | 의료 영상 처리 방법 및 그에 따른 의료 영상 처리 장치 |
KR101898575B1 (ko) * | 2018-01-18 | 2018-09-13 | 주식회사 뷰노 | 진행성 병변에 대한 미래 상태를 예측하는 방법 및 이를 이용한 장치 |
KR20200089146A (ko) * | 2019-01-16 | 2020-07-24 | 삼성전자주식회사 | 의료 영상 처리 장치 및 방법 |
KR20200131020A (ko) * | 2019-05-13 | 2020-11-23 | (주)비주얼터미놀로지 | 의료기계 학습 시스템 |
Also Published As
Publication number | Publication date |
---|---|
US20240071621A1 (en) | 2024-02-29 |
WO2022173232A2 (ko) | 2022-08-18 |
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