JP7181230B2 - 臨床判断支援のための生医療画像データの機械学習 - Google Patents

臨床判断支援のための生医療画像データの機械学習 Download PDF

Info

Publication number
JP7181230B2
JP7181230B2 JP2019565544A JP2019565544A JP7181230B2 JP 7181230 B2 JP7181230 B2 JP 7181230B2 JP 2019565544 A JP2019565544 A JP 2019565544A JP 2019565544 A JP2019565544 A JP 2019565544A JP 7181230 B2 JP7181230 B2 JP 7181230B2
Authority
JP
Japan
Prior art keywords
diagnostic
medical
medical imaging
raw
medical image
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.)
Active
Application number
JP2019565544A
Other languages
English (en)
Japanese (ja)
Other versions
JP2020522068A (ja
JP2020522068A5 (https=
Inventor
クリスティーン メンキング スウィッシャー
ホーマー ピエン
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.)
Koninklijke Philips NV
Original Assignee
Koninklijke Philips NV
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 Koninklijke Philips NV filed Critical Koninklijke Philips NV
Publication of JP2020522068A publication Critical patent/JP2020522068A/ja
Publication of JP2020522068A5 publication Critical patent/JP2020522068A5/ja
Application granted granted Critical
Publication of JP7181230B2 publication Critical patent/JP7181230B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

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
    • 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

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • Theoretical Computer Science (AREA)
  • 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)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
JP2019565544A 2017-05-31 2018-05-30 臨床判断支援のための生医療画像データの機械学習 Active JP7181230B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
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

Publications (3)

Publication Number Publication Date
JP2020522068A JP2020522068A (ja) 2020-07-27
JP2020522068A5 JP2020522068A5 (https=) 2021-07-26
JP7181230B2 true JP7181230B2 (ja) 2022-11-30

Family

ID=62567631

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2019565544A Active JP7181230B2 (ja) 2017-05-31 2018-05-30 臨床判断支援のための生医療画像データの機械学習

Country Status (5)

Country Link
US (1) US11984224B2 (https=)
EP (1) EP3631808B1 (https=)
JP (1) JP7181230B2 (https=)
CN (1) CN110692107B (https=)
WO (1) WO2018220089A1 (https=)

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 (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160019320A1 (en) 2014-07-18 2016-01-21 Samsung Electronics Co., Ltd. Three-dimensional computer-aided diagnosis apparatus and method based on dimension reduction
US20160259898A1 (en) 2015-03-04 2016-09-08 Samsung Electronics Co., Ltd. Apparatus and method for providing reliability for computer aided diagnosis
US20170100078A1 (en) 2015-10-13 2017-04-13 IMPAC Medical Systems, Inc Pseudo-ct generation from mr data using a feature regression model

Family Cites Families (16)

* 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
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
WO2010035161A1 (en) * 2008-09-26 2010-04-01 Koninklijke Philips Electronics, N.V. System and method for fusing clinical and image features for computer-aided diagnosis
EP2470897A4 (en) 2009-08-28 2013-05-29 Asuragen Inc MICRO-RNA BIOMARKERS OF PULMONARY DISEASE
JP5785184B2 (ja) * 2009-12-10 2015-09-24 コーニンクレッカ フィリップス エヌ ヴェ 画像の医療データ及び非画像の医療データの両者の連続的な記憶及び統合された分析のための診断技術
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
WO2014153466A2 (en) * 2013-03-20 2014-09-25 Cornell University Methods and tools for analyzing brain images
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
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
US10799186B2 (en) * 2016-02-12 2020-10-13 Newton Howard Detection of disease conditions and comorbidities

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160019320A1 (en) 2014-07-18 2016-01-21 Samsung Electronics Co., Ltd. Three-dimensional computer-aided diagnosis apparatus and method based on dimension reduction
US20160259898A1 (en) 2015-03-04 2016-09-08 Samsung Electronics Co., Ltd. Apparatus and method for providing reliability for computer aided diagnosis
US20170100078A1 (en) 2015-10-13 2017-04-13 IMPAC Medical Systems, Inc Pseudo-ct generation from mr data using a feature regression model

Also Published As

Publication number Publication date
WO2018220089A1 (en) 2018-12-06
US20210174937A1 (en) 2021-06-10
EP3631808A1 (en) 2020-04-08
RU2019144788A3 (https=) 2021-09-17
RU2019144788A (ru) 2021-07-02
JP2020522068A (ja) 2020-07-27
CN110692107A (zh) 2020-01-14
CN110692107B (zh) 2023-11-14
US11984224B2 (en) 2024-05-14
EP3631808B1 (en) 2024-09-11

Similar Documents

Publication Publication Date Title
JP7181230B2 (ja) 臨床判断支援のための生医療画像データの機械学習
US11610308B2 (en) Localization and classification of abnormalities in medical images
Li et al. When medical images meet generative adversarial network: recent development and research opportunities
Jiang et al. COVID-19 CT image synthesis with a conditional generative adversarial network
Larrazabal et al. Post-DAE: anatomically plausible segmentation via post-processing with denoising autoencoders
JP7811282B2 (ja) 自己教師あり学習を用いた医療画像解析の方法
Gupta et al. Natural image bases to represent neuroimaging data
US20210350179A1 (en) Method for detecting adverse cardiac events
EP3355273B1 (en) Coarse orientation detection in image data
US12249008B2 (en) Implicit neural representation learning with prior embedding for sparsely sampled image reconstruction and other inverse problems
Shakeri et al. Deep spectral-based shape features for Alzheimer’s disease classification
Wang et al. A two-stage generative model with cyclegan and joint diffusion for mri-based brain tumor detection
Yang et al. An indirect multimodal image registration and completion method guided by image synthesis
Chagas et al. A new approach for the detection of pneumonia in children using CXR images based on an real-time IoT system
Wu et al. Prostate segmentation based on variant scale patch and local independent projection
Gravina et al. Leveraging CycleGAN in lung CT sinogram-free kernel conversion
Yu et al. Cardiac LGE MRI segmentation with cross-modality image augmentation and improved u-net
Xie et al. Metal implant segmentation in CT images based on diffusion model
JP2023545570A (ja) 形状プライアを用いた及び用いないセグメンテーション結果によって解剖学的異常を検出すること
Fiaz et al. Brain MRI Segmentation using rule-based hybrid approach
Sherifa et al. A Review on Medical Image Segmentation Using Deep Learning
RU2779064C2 (ru) Машинное обучение на необработанных данных медицинской визуализации для поддержки принятия клинических решений
Kumar et al. [Retracted] CNN‐Based Cross‐Modal Residual Network for Image Synthesis
Aparna et al. Enhanced Stroke Detection in CT Imaging via DeepLabV3+ and Multi-Scale Feature Learning
Arco Martín et al. Explainable inter-modality medical information transfer using siamese autoencoders

Legal Events

Date Code Title Description
A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20210527

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20210527

A977 Report on retrieval

Free format text: JAPANESE INTERMEDIATE CODE: A971007

Effective date: 20220622

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20220704

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20220930

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20221021

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20221117

R150 Certificate of patent or registration of utility model

Ref document number: 7181230

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250