AU2018374207A1 - Detecting intratumor heterogeneity of molecular subtypes in pathology slide images using deep-learning - Google Patents

Detecting intratumor heterogeneity of molecular subtypes in pathology slide images using deep-learning Download PDF

Info

Publication number
AU2018374207A1
AU2018374207A1 AU2018374207A AU2018374207A AU2018374207A1 AU 2018374207 A1 AU2018374207 A1 AU 2018374207A1 AU 2018374207 A AU2018374207 A AU 2018374207A AU 2018374207 A AU2018374207 A AU 2018374207A AU 2018374207 A1 AU2018374207 A1 AU 2018374207A1
Authority
AU
Australia
Prior art keywords
patch
scaled
level
patches
molecular subtype
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.)
Withdrawn
Application number
AU2018374207A
Other languages
English (en)
Inventor
Mustafa Jaber
Bing SONG
Christopher Szeto
Charles VASKE
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nantomics LLC
Original Assignee
Nantomics LLC
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 Nantomics LLC filed Critical Nantomics LLC
Publication of AU2018374207A1 publication Critical patent/AU2018374207A1/en
Withdrawn legal-status Critical Current

Links

Classifications

    • 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
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G16B40/20Supervised data analysis
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B10/00Other methods or instruments for diagnosis, e.g. instruments for taking a cell sample, for biopsy, for vaccination diagnosis; Sex determination; Ovulation-period determination; Throat striking implements
    • A61B10/0041Detection of breast cancer
    • 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
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/40ICT 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
    • 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
    • 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

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Epidemiology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Primary Health Care (AREA)
  • Biomedical Technology (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • Pathology (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Biotechnology (AREA)
  • Evolutionary Computation (AREA)
  • Theoretical Computer Science (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Radiology & Medical Imaging (AREA)
  • Evolutionary Biology (AREA)
  • Artificial Intelligence (AREA)
  • Bioethics (AREA)
  • Biophysics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Software Systems (AREA)
  • Surgery (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Oncology (AREA)
  • Molecular Biology (AREA)
  • Veterinary Medicine (AREA)
  • Animal Behavior & Ethology (AREA)
  • Image Analysis (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
AU2018374207A 2017-11-30 2018-11-28 Detecting intratumor heterogeneity of molecular subtypes in pathology slide images using deep-learning Withdrawn AU2018374207A1 (en)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US201762593224P 2017-11-30 2017-11-30
US62/593,224 2017-11-30
US201862656918P 2018-04-12 2018-04-12
US62/656,918 2018-04-12
PCT/US2018/062911 WO2019108695A1 (en) 2017-11-30 2018-11-28 Detecting intratumor heterogeneity of molecular subtypes in pathology slide images using deep-learning

Publications (1)

Publication Number Publication Date
AU2018374207A1 true AU2018374207A1 (en) 2020-04-30

Family

ID=66665290

Family Applications (1)

Application Number Title Priority Date Filing Date
AU2018374207A Withdrawn AU2018374207A1 (en) 2017-11-30 2018-11-28 Detecting intratumor heterogeneity of molecular subtypes in pathology slide images using deep-learning

Country Status (7)

Country Link
KR (1) KR20200066732A (zh)
AU (1) AU2018374207A1 (zh)
CA (1) CA3079438A1 (zh)
IL (1) IL274101A (zh)
SG (1) SG11202003330PA (zh)
TW (1) TWI689944B (zh)
WO (1) WO2019108695A1 (zh)

Families Citing this family (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110246579B (zh) * 2019-06-13 2023-06-09 西安九清生物科技有限公司 一种病理诊断方法及装置
CN110532408A (zh) * 2019-08-28 2019-12-03 广州金域医学检验中心有限公司 病理切片管理方法、装置、计算机设备及存储介质
TWI701638B (zh) * 2019-09-20 2020-08-11 國立中興大學 應用機械學習技術於自動化光學檢測系統
KR102583103B1 (ko) * 2020-01-28 2023-09-27 페이지.에이아이, 인크. 계산 검출 방법들을 위해 전자 이미지들을 처리하기 위한 시스템들 및 방법들
TWI744798B (zh) * 2020-02-13 2021-11-01 國立陽明交通大學 基於腦影像的神經精神疾病評估方法及系統
CN111507381B (zh) * 2020-03-31 2024-04-02 上海商汤智能科技有限公司 图像识别方法及相关装置、设备
EP4182837A1 (en) * 2020-07-15 2023-05-24 Genentech, Inc. Assessing heterogeneity of features in digital pathology images using machine learning techniques
KR102437193B1 (ko) 2020-07-31 2022-08-30 동국대학교 산학협력단 복수의 배율에 따라 크기 변환된 영상으로 학습된 병렬 심층 신경망 장치 및 방법
KR102304370B1 (ko) 2020-09-18 2021-09-24 동국대학교 산학협력단 딥러닝 기반 상처 변화 및 상태 분석 장치 및 방법
US11416990B1 (en) * 2020-10-18 2022-08-16 Aixmed, Inc. Method and system to obtain cytology image in cytopathology
TWI815057B (zh) * 2020-11-11 2023-09-11 臺北醫學大學 用於癌症病灶的視覺化方法
US11610306B2 (en) 2020-12-16 2023-03-21 Industrial Technology Research Institute Medical image analysis method and device
CN113903400A (zh) * 2021-10-29 2022-01-07 复旦大学附属华山医院 免疫相关疾病分子分型和亚型分类器的分类方法、系统
TWI781027B (zh) * 2021-12-22 2022-10-11 國立臺南大學 用於染色影像的神經網路系統與影像染色轉換方法
CN115330778B (zh) * 2022-10-13 2023-03-10 浙江华是科技股份有限公司 变电站目标检测网络模型训练方法及系统

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1789923A1 (en) * 2004-08-11 2007-05-30 Aureon Laboratories, Inc. Systems and methods for automated diagnosis and grading of tissue images
TWI399194B (zh) * 2011-01-25 2013-06-21 Univ Nat Yunlin Sci & Tech 基於細胞自動機之半自動膝蓋mri軟骨影像分割方法
EP3146463B1 (en) * 2014-05-23 2020-05-13 Ventana Medical Systems, Inc. Systems and methods for detection of biological structures and/or patterns in images
EP3155592B1 (en) * 2014-06-10 2019-09-11 Leland Stanford Junior University Predicting breast cancer recurrence directly from image features computed from digitized immunohistopathology tissue slides
US9836839B2 (en) * 2015-05-28 2017-12-05 Tokitae Llc Image analysis systems and related methods
US10078895B2 (en) * 2015-12-30 2018-09-18 Case Western Reserve University Prediction of recurrence of non-small cell lung cancer with tumor infiltrating lymphocyte (TIL) graphs

Also Published As

Publication number Publication date
IL274101A (en) 2020-06-30
TWI689944B (zh) 2020-04-01
CA3079438A1 (en) 2019-06-06
WO2019108695A1 (en) 2019-06-06
KR20200066732A (ko) 2020-06-10
TW201926359A (zh) 2019-07-01
SG11202003330PA (en) 2020-05-28

Similar Documents

Publication Publication Date Title
AU2018374207A1 (en) Detecting intratumor heterogeneity of molecular subtypes in pathology slide images using deep-learning
Jamshidi et al. Evaluation of cell-free DNA approaches for multi-cancer early detection
Jaber et al. A deep learning image-based intrinsic molecular subtype classifier of breast tumors reveals tumor heterogeneity that may affect survival
Coudray et al. Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
Park et al. Molecular profiling of single circulating tumor cells from lung cancer patients
Yuan et al. Quantitative image analysis of cellular heterogeneity in breast tumors complements genomic profiling
Kim et al. A deep learning approach for rapid mutational screening in melanoma
List et al. Classification of breast cancer subtypes by combining gene expression and DNA methylation data
EP4153782A1 (en) Predicting disease outcomes using machine learned models
EP2894599B1 (en) Information processing device, information processing method, and program
Brück et al. Machine learning of bone marrow histopathology identifies genetic and clinical determinants in patients with MDS
Xu et al. Deep learning predicts chromosomal instability from histopathology images
Seraphin et al. Prediction of heart transplant rejection from routine pathology slides with self-supervised deep learning
Harmon et al. High throughput assessment of biomarkers in tissue microarrays using artificial intelligence: PTEN loss as a proof-of-principle in multi-center prostate cancer cohorts
Jørgensen et al. Untangling the intracellular signalling network in cancer—A strategy for data integration in acute myeloid leukaemia
US20220180626A1 (en) Weakly supervised learning with whole slide images
Xu et al. Using histopathology images to predict chromosomal instability in breast cancer: a deep learning approach
CA3163492A1 (en) Real-world evidence of diagnostic testing and treatment patterns in u.s. breast cancer patients
McCaw et al. Machine learning enabled prediction of digital biomarkers from whole slide histopathology images
Dawood et al. Data-driven modelling of gene expression states in breast cancer and their prediction from routine whole slide images
Han et al. Molecular bases of morphometric composition in Glioblastoma multiforme
WO2024054073A1 (ko) 선행화학요법 내성의 고형암 환자 진단용 바이오마커 및 이를 이용한 선행화학요법 내성 진단을 위한 정보제공방법
Glas et al. MammaPrint® translating research into a diagnostic test
Brück et al. Histopathological Landscape of Molecular Genetics and Clinical Determinants in MDS Patients
Alentorn et al. Artificial intelligence classifies and predicts the outcome of primary CNS and nodal large B-cell lymphomas

Legal Events

Date Code Title Description
MK12 Application lapsed section 141(1)/reg 8.3(2) - applicant filed a written notice of withdrawal