CN111247596A - 组织学图像的自动化图案识别和评分方法 - Google Patents
组织学图像的自动化图案识别和评分方法 Download PDFInfo
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- CN111247596A CN111247596A CN201880068174.8A CN201880068174A CN111247596A CN 111247596 A CN111247596 A CN 111247596A CN 201880068174 A CN201880068174 A CN 201880068174A CN 111247596 A CN111247596 A CN 111247596A
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B10/00—Instruments for taking body samples for diagnostic purposes; Other methods or instruments for diagnosis, e.g. for vaccination diagnosis, sex determination or ovulation-period determination; Throat striking implements
- A61B10/02—Instruments for taking cell samples or for biopsy
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/42—Detecting, measuring or recording for evaluating the gastrointestinal, the endocrine or the exocrine systems
- A61B5/4222—Evaluating particular parts, e.g. particular organs
- A61B5/4244—Evaluating particular parts, e.g. particular organs liver
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7278—Artificial waveform generation or derivation, e.g. synthesizing signals from measured signals
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/53—Immunoassay; Biospecific binding assay; Materials therefor
- G01N33/576—Immunoassay; Biospecific binding assay; Materials therefor for hepatitis
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- G06N3/04—Architecture, e.g. interconnection topology
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- G06N3/0464—Convolutional networks [CNN, ConvNet]
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- G06N3/08—Learning methods
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- G—PHYSICS
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- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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- 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
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/40—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
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- G—PHYSICS
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- 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
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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
- G16H50/20—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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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
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- 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
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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
- G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
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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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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10056—Microscopic image
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
- G06T2207/30024—Cell structures in vitro; Tissue sections in vitro
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06T2207/30056—Liver; Hepatic
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- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Primary Health Care (AREA)
- Epidemiology (AREA)
- Data Mining & Analysis (AREA)
- Pathology (AREA)
- Theoretical Computer Science (AREA)
- Molecular Biology (AREA)
- Databases & Information Systems (AREA)
- General Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- Biophysics (AREA)
- Mathematical Physics (AREA)
- Evolutionary Computation (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Computing Systems (AREA)
- Veterinary Medicine (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Heart & Thoracic Surgery (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Physiology (AREA)
- Immunology (AREA)
- Quality & Reliability (AREA)
- Chemical & Material Sciences (AREA)
- Hematology (AREA)
- Psychiatry (AREA)
- Urology & Nephrology (AREA)
- Gastroenterology & Hepatology (AREA)
- Signal Processing (AREA)
Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP17197623 | 2017-10-20 | ||
| EP17197623.6 | 2017-10-20 | ||
| EP18166425 | 2018-04-09 | ||
| EP18166425.1 | 2018-04-09 | ||
| PCT/EP2018/078711 WO2019077108A2 (en) | 2017-10-20 | 2018-10-19 | AUTOMATED METHOD OF ASSESSING AND RECOGNIZING PROFILES ON HISTOLOGICAL IMAGES |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111247596A true CN111247596A (zh) | 2020-06-05 |
Family
ID=63862171
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201880068174.8A Pending CN111247596A (zh) | 2017-10-20 | 2018-10-19 | 组织学图像的自动化图案识别和评分方法 |
Country Status (9)
| Country | Link |
|---|---|
| US (1) | US11676269B2 (https=) |
| EP (1) | EP3698377A2 (https=) |
| JP (1) | JP7293243B2 (https=) |
| KR (1) | KR20200090757A (https=) |
| CN (1) | CN111247596A (https=) |
| AU (1) | AU2018351635A1 (https=) |
| CA (1) | CA3078672A1 (https=) |
| MX (1) | MX2020003990A (https=) |
| WO (1) | WO2019077108A2 (https=) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112233811A (zh) * | 2020-10-19 | 2021-01-15 | 江苏珂玛麒生物科技有限公司 | 一种nash肝脏数字病理分析系统、工作方法、应用 |
| CN113469939A (zh) * | 2021-05-26 | 2021-10-01 | 透彻影像(北京)科技有限公司 | 一种基于特性曲线的her-2免疫组化自动判读系统 |
| CN115439701A (zh) * | 2022-11-07 | 2022-12-06 | 中国医学科学院北京协和医院 | 多模态超声图像的ra活动度深度学习方法及装置 |
| CN116563206A (zh) * | 2023-03-10 | 2023-08-08 | 复旦大学 | 肝脏病理切片图像的肝小叶炎症检测和定量装置和方法 |
Families Citing this family (27)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020027732A1 (en) * | 2018-07-30 | 2020-02-06 | Agency For Science, Technology And Research | Method and system for assessing fibrosis in a tissue sample |
| BR112022001446A2 (pt) | 2019-07-26 | 2022-07-12 | Univ Leland Stanford Junior | Sistemas e métodos para analisar, detectar e tratar formação de rede de tecido conjuntivo fibrótico |
| KR102938955B1 (ko) * | 2019-09-11 | 2026-03-12 | 삼성전자주식회사 | 영상 인식 모델을 학습하는 전자 장치 및 그 동작 방법 |
| US11527319B1 (en) * | 2019-09-13 | 2022-12-13 | PathAI, Inc. | Systems and methods for frame-based validation |
| WO2021141537A1 (en) * | 2020-01-08 | 2021-07-15 | Histoindex Pte Ltd | Method and system for evaluating efficacy of a therapeutic intervention |
| WO2021191509A1 (fr) | 2020-03-24 | 2021-09-30 | Biocellvia | Système et procédé pour produire un indicateur à partir d'une image d'une coupe histologique |
| CN112200763B (zh) * | 2020-08-24 | 2024-08-06 | 江苏科技大学 | 一种基于肝脏ct影像的肝功能分级方法 |
| US11798165B2 (en) | 2020-10-28 | 2023-10-24 | Sony Group Corporation | Tumor detection and segmentation for DPI AI platform routes |
| WO2022101853A1 (en) * | 2020-11-16 | 2022-05-19 | Novartis Ag | Method of determining liver fibrosis |
| US11651496B2 (en) * | 2021-03-11 | 2023-05-16 | Ping An Technology (Shenzhen) Co., Ltd. | Liver fibrosis recognition method based on medical images and computing device using thereof |
| WO2022191781A1 (en) * | 2021-03-12 | 2022-09-15 | Histoindex Pte Ltd | Method and system for assessing nonalcoholic steatohepatitis |
| WO2022197917A1 (en) * | 2021-03-18 | 2022-09-22 | Leica Biosystems Imaging, Inc. | Apparatus and method for training of machine learning models using annotated image data for pathology imaging |
| JP7699227B2 (ja) * | 2021-05-21 | 2025-06-26 | ヴェンタナ メディカル システムズ, インク. | 病理組織画像におけるアーチファクトの自動セグメンテーション |
| US12231802B2 (en) | 2021-08-04 | 2025-02-18 | Theia Scientific, LLC | System and method for multi-modal microscopy |
| KR102755028B1 (ko) * | 2021-10-12 | 2025-01-21 | 주식회사 유케어트론 | 측정스펙트럼 분석장치 및 분석방법 |
| WO2023086032A2 (en) * | 2021-11-11 | 2023-05-19 | Histoindex Pte Ltd | Method and system for assessing nash cirrhosis |
| CN114550942B (zh) * | 2022-02-16 | 2023-06-30 | 四川大学华西医院 | 一种肝脏显著纤维化预测模型及构建方法 |
| AU2023225716A1 (en) * | 2022-02-24 | 2024-09-12 | Vinay Pulim | System and method for annotating pathology images to predict patient outcome |
| WO2023204768A1 (en) * | 2022-04-21 | 2023-10-26 | Histoindex Pte Ltd | Method and system for evaluating a therapeutic intervention |
| CN115565698B (zh) * | 2022-10-26 | 2024-03-29 | 南方医科大学珠江医院 | 一种人工智能评估供肾质量的方法及系统 |
| CN119181455A (zh) * | 2023-06-21 | 2024-12-24 | 赫斯托因德私人有限公司 | 用于预测代谢功能障碍相关联脂肪变性肝病的临床结果的方法和系统 |
| CN116682109B (zh) * | 2023-08-02 | 2023-11-17 | 深圳金质科技有限公司 | 一种病理显微图像的分析方法、装置、设备及存储介质 |
| US12533394B2 (en) | 2023-11-15 | 2026-01-27 | Glycomantra Inc. | Compositions and methods for treating metabolic disorders |
| GB2631590A (en) * | 2024-06-17 | 2025-01-08 | Histoindex Pte Ltd | Method and system for predicting a clinical outcome of metabolic dysfunction-associated steatotic liver disease |
| CN118657792B (zh) * | 2024-08-21 | 2025-01-14 | 南方医科大学南方医院 | 基于he图像的肝细胞癌病理组学分析方法、设备和介质 |
| CN118782237B (zh) * | 2024-09-13 | 2025-02-18 | 佛山复星禅诚医院有限公司 | 基于人工智能评估非酒精性脂肪肝模型的系统 |
| CN121033844B (zh) * | 2025-08-20 | 2026-03-24 | 上海市浦东医院(复旦大学附属浦东医院) | 一种实验染色结果图像处理计算方法 |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103164599A (zh) * | 2011-12-10 | 2013-06-19 | 西安百利信息科技有限公司 | 基于腹部ct图像传输的肝硬化远程会诊系统 |
| WO2013189822A1 (en) * | 2012-06-21 | 2013-12-27 | Luric Datenbank Gbr | Methods for determining the risk of mortality in patients with cardiovascular disease |
| US20150339816A1 (en) * | 2013-01-08 | 2015-11-26 | Agency For Science, Technology And Research | A method and system for assessing fibrosis in a tissue |
| CN105228508A (zh) * | 2013-03-08 | 2016-01-06 | 新加坡健康服务有限公司 | 一种测定用于分类的危险评分的系统和方法 |
| US20170032090A1 (en) * | 2015-07-30 | 2017-02-02 | Siemens Medical Solutions Usa, Inc. | Virtual biopsy techniques for analyzing diseases |
| US20170261584A1 (en) * | 2014-09-01 | 2017-09-14 | bioProtonics, LLC | Selective sampling for assessing structural spatial frequencies with specific contrast mechanisms |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2201518A4 (en) * | 2007-09-21 | 2011-12-21 | Aperio Technologies Inc | IMPROVED IMAGE QUALITY FOR DIGITAL DIAGNOSTIC RESOLUTION DIGITAL PICTURE PICTURES |
| JP5771513B2 (ja) * | 2011-11-24 | 2015-09-02 | 学校法人慶應義塾 | 病理診断支援装置、病理診断支援方法、及び病理診断支援プログラム |
| JP6763305B2 (ja) * | 2014-12-09 | 2020-09-30 | コニカミノルタ株式会社 | 画像処理装置及び画像処理プログラム |
| JP6170994B2 (ja) * | 2015-12-22 | 2017-07-26 | 株式会社フジミインコーポレーテッド | 粉末積層造形に用いるための造形用材料 |
-
2018
- 2018-10-19 MX MX2020003990A patent/MX2020003990A/es unknown
- 2018-10-19 CA CA3078672A patent/CA3078672A1/en active Pending
- 2018-10-19 AU AU2018351635A patent/AU2018351635A1/en not_active Abandoned
- 2018-10-19 CN CN201880068174.8A patent/CN111247596A/zh active Pending
- 2018-10-19 EP EP18786791.6A patent/EP3698377A2/en not_active Withdrawn
- 2018-10-19 US US16/757,752 patent/US11676269B2/en active Active
- 2018-10-19 JP JP2020542685A patent/JP7293243B2/ja active Active
- 2018-10-19 WO PCT/EP2018/078711 patent/WO2019077108A2/en not_active Ceased
- 2018-10-19 KR KR1020207012031A patent/KR20200090757A/ko not_active Ceased
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103164599A (zh) * | 2011-12-10 | 2013-06-19 | 西安百利信息科技有限公司 | 基于腹部ct图像传输的肝硬化远程会诊系统 |
| WO2013189822A1 (en) * | 2012-06-21 | 2013-12-27 | Luric Datenbank Gbr | Methods for determining the risk of mortality in patients with cardiovascular disease |
| US20150339816A1 (en) * | 2013-01-08 | 2015-11-26 | Agency For Science, Technology And Research | A method and system for assessing fibrosis in a tissue |
| CN105228508A (zh) * | 2013-03-08 | 2016-01-06 | 新加坡健康服务有限公司 | 一种测定用于分类的危险评分的系统和方法 |
| US20170261584A1 (en) * | 2014-09-01 | 2017-09-14 | bioProtonics, LLC | Selective sampling for assessing structural spatial frequencies with specific contrast mechanisms |
| US20170032090A1 (en) * | 2015-07-30 | 2017-02-02 | Siemens Medical Solutions Usa, Inc. | Virtual biopsy techniques for analyzing diseases |
Non-Patent Citations (6)
| Title |
|---|
| ABDUL M. OSEINI ET AL: "Therapies in non-alcoholic steatohepatitis (NASH)" * |
| ALEXANDER ALIPER ET AL: "Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic Data" * |
| FERNANDO BRIL ET AL: "Management of Nonalcoholic Fatty Liver Disease in Patients With Type 2 Diabetes: A Call to Action" * |
| GOCERI EVGIN ET AL: "Quantification of liver fat: A comprehensive review" * |
| MENG DAN ET AL: "Liver Fibrosis Classification Based on Transfer Learning and FCNet for Ultrasound Images" * |
| YASAKA KOICHIRO ET AL: "Liver Fibrosis: Deep Convolutional Neural Network for Staging by Using Gadoxetic Acid-enhanced Hepatobiliary Phase MR Images" * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112233811A (zh) * | 2020-10-19 | 2021-01-15 | 江苏珂玛麒生物科技有限公司 | 一种nash肝脏数字病理分析系统、工作方法、应用 |
| CN113469939A (zh) * | 2021-05-26 | 2021-10-01 | 透彻影像(北京)科技有限公司 | 一种基于特性曲线的her-2免疫组化自动判读系统 |
| CN113469939B (zh) * | 2021-05-26 | 2022-05-03 | 透彻影像(北京)科技有限公司 | 一种基于特性曲线的her-2免疫组化自动判读系统 |
| CN115439701A (zh) * | 2022-11-07 | 2022-12-06 | 中国医学科学院北京协和医院 | 多模态超声图像的ra活动度深度学习方法及装置 |
| CN116563206A (zh) * | 2023-03-10 | 2023-08-08 | 复旦大学 | 肝脏病理切片图像的肝小叶炎症检测和定量装置和方法 |
| CN116563206B (zh) * | 2023-03-10 | 2025-04-01 | 复旦大学 | 肝脏病理切片图像的肝小叶炎症检测和定量装置和方法 |
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| Publication number | Publication date |
|---|---|
| US20210192722A1 (en) | 2021-06-24 |
| US11676269B2 (en) | 2023-06-13 |
| MX2020003990A (es) | 2020-08-13 |
| KR20200090757A (ko) | 2020-07-29 |
| CA3078672A1 (en) | 2019-04-25 |
| WO2019077108A2 (en) | 2019-04-25 |
| AU2018351635A1 (en) | 2020-05-07 |
| JP2021500691A (ja) | 2021-01-07 |
| JP7293243B2 (ja) | 2023-06-19 |
| WO2019077108A3 (en) | 2019-06-20 |
| EP3698377A2 (en) | 2020-08-26 |
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