BR112022000075A2 - Aparelho de diagnóstico da imagem que utiliza o modelo de deep learning e método para ele - Google Patents

Aparelho de diagnóstico da imagem que utiliza o modelo de deep learning e método para ele

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Publication number
BR112022000075A2
BR112022000075A2 BR112022000075A BR112022000075A BR112022000075A2 BR 112022000075 A2 BR112022000075 A2 BR 112022000075A2 BR 112022000075 A BR112022000075 A BR 112022000075A BR 112022000075 A BR112022000075 A BR 112022000075A BR 112022000075 A2 BR112022000075 A2 BR 112022000075A2
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BR
Brazil
Prior art keywords
learning model
deep learning
image
diagnostic device
abnormal
Prior art date
Application number
BR112022000075A
Other languages
English (en)
Inventor
Kee Chun Jong
Yong Yi Mun
Jin Park Young
Sin Ko Young
Original Assignee
Korea Advanced Inst Sci & Tech
Seegene Medical Found
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Korea Advanced Inst Sci & Tech, Seegene Medical Found filed Critical Korea Advanced Inst Sci & Tech
Publication of BR112022000075A2 publication Critical patent/BR112022000075A2/pt

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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00ICT specially adapted for the handling or processing of medical images
    • G16H30/40ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0033Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271Specific aspects of physiological measurement analysis
    • A61B5/7275Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2415Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00ICT specially adapted for the handling or processing of medical images
    • G16H30/20ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70ICT 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20081Training; Learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03Recognition of patterns in medical or anatomical images

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Pathology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Surgery (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
  • Evolutionary Computation (AREA)
  • General Physics & Mathematics (AREA)
  • Physiology (AREA)
  • Psychiatry (AREA)
  • Signal Processing (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Quality & Reliability (AREA)
  • Multimedia (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)

Abstract

aparelho de diagnóstico da imagem que utiliza o modelo de deep learning e método para ele. o presente relatório descritivo descreve um aparelho de diagnóstico de imagem utilizando um modelo de aprendizado profundo e um método para o mesmo, em que o tecido incluído em uma imagem médica de entrada é classificado como sendo um de normal e anormal para uma doença pelo uso do modelo de aprendizado profundo treinado utilizando uma função de perda ponderada na qual pesos diferentes são designados a uma distribuição de probabilidade de determinar que uma imagem extraída da imagem médica de entrada é anormal mesmo que ela seja normal e uma probabilidade a distribuição de determinação de que a imagem é normal mesmo que ela seja anormal.
BR112022000075A 2019-07-05 2020-06-30 Aparelho de diagnóstico da imagem que utiliza o modelo de deep learning e método para ele BR112022000075A2 (pt)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR1020190081416A KR102132375B1 (ko) 2019-07-05 2019-07-05 딥 러닝 모델을 활용한 영상 진단 장치 및 그 방법
PCT/KR2020/008502 WO2021006522A1 (ko) 2019-07-05 2020-06-30 딥 러닝 모델을 활용한 영상 진단 장치 및 그 방법

Publications (1)

Publication Number Publication Date
BR112022000075A2 true BR112022000075A2 (pt) 2022-03-22

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BR112022000075A BR112022000075A2 (pt) 2019-07-05 2020-06-30 Aparelho de diagnóstico da imagem que utiliza o modelo de deep learning e método para ele

Country Status (7)

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US (1) US20220270756A1 (pt)
EP (1) EP3996103A4 (pt)
JP (1) JP7304594B2 (pt)
KR (1) KR102132375B1 (pt)
CN (1) CN114127858A (pt)
BR (1) BR112022000075A2 (pt)
WO (1) WO2021006522A1 (pt)

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US20230316132A1 (en) * 2020-08-31 2023-10-05 Nec Corporation Learning device, learning method, and learning program
KR20230041921A (ko) * 2021-09-17 2023-03-27 주식회사 온택트헬스 체내 장기 또는 근육의 이상 유무를 판단하는 방법 및 장치
WO2023074829A1 (ja) * 2021-10-29 2023-05-04 国立大学法人大阪大学 認知機能評価システム、及び学習方法
KR102437348B1 (ko) * 2021-12-20 2022-08-29 (주)씨어스테크놀로지 웨어러블 심전도 신호 분석 방법
US20240161458A1 (en) * 2022-11-10 2024-05-16 Samsung Electronics Co., Ltd. Method and device with object classification
CN117058467B (zh) * 2023-10-10 2023-12-22 湖北大学 一种胃肠道病变类型识别方法及系统

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WO2012123718A1 (en) * 2011-03-14 2012-09-20 The University Of Warwick Histology analysis
US10169863B2 (en) * 2015-06-12 2019-01-01 International Business Machines Corporation Methods and systems for automatically determining a clinical image or portion thereof for display to a diagnosing physician
KR101908680B1 (ko) * 2016-08-30 2018-10-17 주식회사 루닛 약한 지도 학습 기반의 기계 학습 방법 및 그 장치
JP6765911B2 (ja) * 2016-09-15 2020-10-07 三菱重工業株式会社 分類装置、分類方法およびプログラム
KR101880678B1 (ko) * 2016-10-12 2018-07-20 (주)헬스허브 기계학습을 통한 의료영상 판독 및 진단 통합 시스템
KR101879207B1 (ko) * 2016-11-22 2018-07-17 주식회사 루닛 약한 지도 학습 방식의 객체 인식 방법 및 장치
CA3083035A1 (en) * 2017-10-13 2019-04-18 Ai Technologies Inc. Deep learning-based diagnosis and referral of ophthalmic diseases and disorders
EP3477553B1 (en) * 2017-10-27 2023-08-30 Robert Bosch GmbH Method for detecting an anomalous image among a first dataset of images using an adversarial autoencoder

Also Published As

Publication number Publication date
KR102132375B1 (ko) 2020-07-09
WO2021006522A1 (ko) 2021-01-14
CN114127858A (zh) 2022-03-01
JP2022549051A (ja) 2022-11-24
EP3996103A1 (en) 2022-05-11
JP7304594B2 (ja) 2023-07-07
EP3996103A4 (en) 2023-08-02
US20220270756A1 (en) 2022-08-25

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