CN113661518B - 标识图像数据内的病灶的边界 - Google Patents

标识图像数据内的病灶的边界 Download PDF

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Publication number
CN113661518B
CN113661518B CN202080026839.6A CN202080026839A CN113661518B CN 113661518 B CN113661518 B CN 113661518B CN 202080026839 A CN202080026839 A CN 202080026839A CN 113661518 B CN113661518 B CN 113661518B
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image data
lesion
uncertainty
probability
potential
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CN113661518A (zh
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D·马弗罗伊迪斯
S·特拉加诺维斯基
B·J·巴科
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Koninklijke Philips NV
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Koninklijke Philips NV
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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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/12—Edge-based segmentation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/143—Segmentation; Edge detection involving probabilistic approaches, e.g. Markov random field [MRF] modelling
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/187—Segmentation; Edge detection involving region growing; involving region merging; involving connected component labelling
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • 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
    • 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
    • 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
    • G06T2207/10028—Range image; Depth image; 3D point clouds
    • 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
    • G06T2207/20076—Probabilistic image processing
    • 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • 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
    • G06T2207/20092—Interactive image processing based on input by user
    • 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
    • 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
    • G06T2207/30096—Tumor; Lesion

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Epidemiology (AREA)
  • Biomedical Technology (AREA)
  • Primary Health Care (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • Pathology (AREA)
  • Evolutionary Computation (AREA)
  • Computing Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Multimedia (AREA)
  • Quality & Reliability (AREA)
  • Probability & Statistics with Applications (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Image Analysis (AREA)
CN202080026839.6A 2019-04-04 2020-04-03 标识图像数据内的病灶的边界 Active CN113661518B (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP19167213.8A EP3719746A1 (en) 2019-04-04 2019-04-04 Identifying boundaries of lesions within image data
EP19167213.8 2019-04-04
PCT/EP2020/059583 WO2020201516A1 (en) 2019-04-04 2020-04-03 Identifying boundaries of lesions within image data

Publications (2)

Publication Number Publication Date
CN113661518A CN113661518A (zh) 2021-11-16
CN113661518B true CN113661518B (zh) 2025-05-20

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US (1) US12079989B2 (enExample)
EP (2) EP3719746A1 (enExample)
JP (1) JP7204007B2 (enExample)
CN (1) CN113661518B (enExample)
WO (1) WO2020201516A1 (enExample)

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US20210375437A1 (en) * 2020-06-01 2021-12-02 Radial Analytics, Inc. Systems and methods for discharge evaluation triage
US12073945B2 (en) * 2020-06-30 2024-08-27 Cerner Innovation, Inc. Patient ventilator asynchrony detection
WO2022013265A1 (en) * 2020-07-16 2022-01-20 Koninklijke Philips N.V. Automatic certainty evaluator for radiology reports
US12112844B2 (en) * 2021-03-12 2024-10-08 Siemens Healthineers Ag Machine learning for automatic detection of intracranial hemorrhages with uncertainty measures from medical images
CN114463323B (zh) * 2022-02-22 2023-09-08 数坤(上海)医疗科技有限公司 一种病灶区域识别方法、装置、电子设备和存储介质
US20250165860A1 (en) * 2022-03-01 2025-05-22 Nec Corporation Learning device, control device, learning method, and storage medium
JP2024017902A (ja) * 2022-07-28 2024-02-08 株式会社日立製作所 判定評価装置、方法、およびプログラム
JP2024179020A (ja) * 2023-06-14 2024-12-26 株式会社日立製作所 計算機システム及び推論の不確実性判定方法

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US7876938B2 (en) * 2005-10-06 2011-01-25 Siemens Medical Solutions Usa, Inc. System and method for whole body landmark detection, segmentation and change quantification in digital images
US7840046B2 (en) * 2006-06-27 2010-11-23 Siemens Medical Solutions Usa, Inc. System and method for detection of breast masses and calcifications using the tomosynthesis projection and reconstructed images
WO2009063363A2 (en) * 2007-11-14 2009-05-22 Koninklijke Philips Electronics N.V. Computer-aided detection (cad) of a disease
JP5117353B2 (ja) * 2008-11-07 2013-01-16 オリンパス株式会社 画像処理装置、画像処理プログラムおよび画像処理方法
US20100158332A1 (en) * 2008-12-22 2010-06-24 Dan Rico Method and system of automated detection of lesions in medical images
US9122950B2 (en) 2013-03-01 2015-09-01 Impac Medical Systems, Inc. Method and apparatus for learning-enhanced atlas-based auto-segmentation
JP6346576B2 (ja) * 2015-02-27 2018-06-20 Hoya株式会社 画像処理装置
CN105488781B (zh) * 2015-06-01 2019-04-30 深圳市第二人民医院 一种基于ct影像肝脏肿瘤病灶的分割方法
US10181188B2 (en) * 2016-02-19 2019-01-15 International Business Machines Corporation Structure-preserving composite model for skin lesion segmentation
US9886758B2 (en) 2016-03-31 2018-02-06 International Business Machines Corporation Annotation of skin image using learned feature representation
CN106097335B (zh) * 2016-06-08 2019-01-25 安翰光电技术（武汉）有限公司 消化道病灶图像识别系统及识别方法
JP7054787B2 (ja) * 2016-12-22 2022-04-15 パナソニックＩｐマネジメント株式会社 制御方法、情報端末、及びプログラム
CA3053487A1 (en) 2017-02-22 2018-08-30 The United States Of America, As Represented By The Secretary, Department Of Health And Human Services Detection of prostate cancer in multi-parametric mri using random forest with instance weighting & mr prostate segmentation by deep learning with holistically-nested networks
EP3629898A4 (en) * 2017-05-30 2021-01-20 Arterys Inc. AUTOMATED LESION DETECTION, SEGMENTATION AND LENGTH IDENTIFICATION
CN107730507A (zh) 2017-08-23 2018-02-23 成都信息工程大学 一种基于深度学习的病变区域自动分割方法
CN111192285B (zh) * 2018-07-25 2022-11-04 腾讯医疗健康(深圳)有限公司 图像分割方法、装置、存储介质和计算机设备

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Publication number Publication date
US20220180516A1 (en) 2022-06-09
EP3719746A1 (en) 2020-10-07
EP3948777B1 (en) 2022-11-16
EP3948777A1 (en) 2022-02-09
JP2022527525A (ja) 2022-06-02
JP7204007B2 (ja) 2023-01-13
CN113661518A (zh) 2021-11-16
WO2020201516A1 (en) 2020-10-08
US12079989B2 (en) 2024-09-03

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