CN110692107B - 用于临床决策支持的对原始医学成像数据的机器学习 - Google Patents

用于临床决策支持的对原始医学成像数据的机器学习 Download PDF

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CN110692107B
CN110692107B CN201880035293.3A CN201880035293A CN110692107B CN 110692107 B CN110692107 B CN 110692107B CN 201880035293 A CN201880035293 A CN 201880035293A CN 110692107 B CN110692107 B CN 110692107B
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medical imaging
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medical image
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CN110692107A (zh
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C·M·斯威舍
H·皮恩
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Koninklijke Philips NV
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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
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T12/00Tomographic reconstruction from projections
    • 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

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
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  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Treatment And Welfare Office Work (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Bioinformatics & Cheminformatics (AREA)
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  • General Engineering & Computer Science (AREA)
CN201880035293.3A 2017-05-31 2018-05-30 用于临床决策支持的对原始医学成像数据的机器学习 Active CN110692107B (zh)

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US201762512774P 2017-05-31 2017-05-31
US62/512,774 2017-05-31
PCT/EP2018/064308 WO2018220089A1 (en) 2017-05-31 2018-05-30 Machine learning on raw medical imaging data for clinical decision support

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CN110692107B true CN110692107B (zh) 2023-11-14

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Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
SG10201909659QA (en) * 2018-10-17 2020-05-28 Tata Consultancy Services Ltd System and method for authenticating humans based on behavioral pattern
US10755412B2 (en) * 2018-11-20 2020-08-25 International Business Machines Corporation Automated patient complexity classification for artificial intelligence tools
US11681873B2 (en) * 2019-09-11 2023-06-20 International Business Machines Corporation Creating an executable process from a text description written in a natural language
EP4037550A4 (en) * 2019-09-30 2023-11-08 Massachusetts Eye and Ear Infirmary OBJECTIVE ASSESSMENT OF NEUROLOGICAL MOVEMENT DISORDERS FROM MEDICAL IMAGING
EP3824814A1 (en) * 2019-11-22 2021-05-26 Koninklijke Philips N.V. Assessment of measured tomographic data
US11727125B2 (en) * 2020-03-31 2023-08-15 General Electric Company Emergent language based data encryption
EP4082439B1 (en) * 2021-04-29 2024-04-17 Siemens Healthineers AG Determining ct scan parameters based on machine learning
US20240428940A1 (en) * 2021-10-20 2024-12-26 Deepeyevision Inc. Information processing apparatus, information processing method, and computer-readable recording medium
US12505913B2 (en) * 2022-02-10 2025-12-23 Siemens Healthineers Ag Artificial intelligence for end-to-end analytics in magnetic resonance scanning
EP4266074A1 (en) 2022-04-22 2023-10-25 Koninklijke Philips N.V. Segmentation of medical images reconstructed from a set of magnetic resonance images
EP4321890A1 (en) 2022-08-09 2024-02-14 Koninklijke Philips N.V. Reconstruction parameter determination for the reconstruction of synthesized magnetic resonance images

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1934589A (zh) * 2004-03-23 2007-03-21 美国西门子医疗解决公司 为医学成像提供自动决策支持的系统和方法
CN102165453A (zh) * 2008-09-26 2011-08-24 皇家飞利浦电子股份有限公司 用于融合临床和图像特征进行计算机辅助诊断的系统和方法
CN102652317A (zh) * 2009-12-10 2012-08-29 皇家飞利浦电子股份有限公司 用于连续存储以及联合分析图像和非图像医学数据的诊断技术
WO2014153466A2 (en) * 2013-03-20 2014-09-25 Cornell University Methods and tools for analyzing brain images

Family Cites Families (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9347945B2 (en) 2005-12-22 2016-05-24 Abbott Molecular Inc. Methods and marker combinations for screening for predisposition to lung cancer
US8073253B2 (en) * 2006-09-29 2011-12-06 General Electric Company Machine learning based triple region segmentation framework using level set on PACS
US8334900B2 (en) * 2008-07-21 2012-12-18 The Hong Kong University Of Science And Technology Apparatus and method of optical imaging for medical diagnosis
EP2470897A4 (en) 2009-08-28 2013-05-29 Asuragen Inc MICRO-RNA BIOMARKERS OF PULMONARY DISEASE
US9208556B2 (en) * 2010-11-26 2015-12-08 Quantitative Insights, Inc. Method, system, software and medium for advanced intelligent image analysis and display of medical images and information
US20150042677A1 (en) * 2012-03-23 2015-02-12 Konica Minolta, Inc. Image-generating apparatus
WO2013188957A1 (en) 2012-06-18 2013-12-27 University Health Network Method and system for compressed sensing image reconstruction
CN103793908A (zh) * 2014-01-17 2014-05-14 首都医科大学 一种基于脑核磁共振图像多维度纹理建立预测模型的方法
US20190066020A1 (en) * 2014-03-31 2019-02-28 Kountable, Inc. Multi-Variable Assessment Systems and Methods that Evaluate and Predict Entrepreneurial Behavior
KR20160010157A (ko) * 2014-07-18 2016-01-27 삼성전자주식회사 차원 축소 기반 3차원 컴퓨터 보조 진단 장치 및 방법
KR20160012758A (ko) * 2014-07-25 2016-02-03 삼성전자주식회사 영상 진단 보조 장치 및 방법
WO2016094330A2 (en) 2014-12-08 2016-06-16 20/20 Genesystems, Inc Methods and machine learning systems for predicting the liklihood or risk of having cancer
KR20160107528A (ko) 2015-03-04 2016-09-19 삼성전자주식회사 컴퓨터 보조 진단을 위한 신뢰도 제공 장치 및 방법
US10307108B2 (en) 2015-10-13 2019-06-04 Elekta, Inc. Pseudo-CT generation from MR data using a feature regression model
US10799186B2 (en) * 2016-02-12 2020-10-13 Newton Howard Detection of disease conditions and comorbidities

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1934589A (zh) * 2004-03-23 2007-03-21 美国西门子医疗解决公司 为医学成像提供自动决策支持的系统和方法
CN102165453A (zh) * 2008-09-26 2011-08-24 皇家飞利浦电子股份有限公司 用于融合临床和图像特征进行计算机辅助诊断的系统和方法
CN102652317A (zh) * 2009-12-10 2012-08-29 皇家飞利浦电子股份有限公司 用于连续存储以及联合分析图像和非图像医学数据的诊断技术
WO2014153466A2 (en) * 2013-03-20 2014-09-25 Cornell University Methods and tools for analyzing brain images

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
《中国临床医学影像杂志》2013年第24卷主题索引;中国临床医学影像杂志(第12期) *

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WO2018220089A1 (en) 2018-12-06
US20210174937A1 (en) 2021-06-10
EP3631808A1 (en) 2020-04-08
RU2019144788A3 (https=) 2021-09-17
JP7181230B2 (ja) 2022-11-30
RU2019144788A (ru) 2021-07-02
JP2020522068A (ja) 2020-07-27
CN110692107A (zh) 2020-01-14
US11984224B2 (en) 2024-05-14
EP3631808B1 (en) 2024-09-11

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