CN114586065A - 用于分割图像的方法和系统 - Google Patents

用于分割图像的方法和系统 Download PDF

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Publication number
CN114586065A
CN114586065A CN202080074382.6A CN202080074382A CN114586065A CN 114586065 A CN114586065 A CN 114586065A CN 202080074382 A CN202080074382 A CN 202080074382A CN 114586065 A CN114586065 A CN 114586065A
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image
model
shape
mbs
segmentation
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CN202080074382.6A
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English (en)
Chinese (zh)
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M·伦加
C·贝尔格
S·雷尼克
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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
    • G06T7/10—Segmentation; Edge detection
    • G06T7/149—Segmentation; Edge detection involving deformable models, e.g. active contour models
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • 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
    • G06T7/50—Depth or shape recovery
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
    • 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
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • 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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Software Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Multimedia (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Quality & Reliability (AREA)
  • Radiology & Medical Imaging (AREA)
  • Databases & Information Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Molecular Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Image Analysis (AREA)
CN202080074382.6A 2019-10-23 2020-10-22 用于分割图像的方法和系统 Pending CN114586065A (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP19204772.8A EP3813013A1 (en) 2019-10-23 2019-10-23 Methods and systems for segmenting images
EP19204772.8 2019-10-23
PCT/EP2020/079679 WO2021078823A1 (en) 2019-10-23 2020-10-22 Methods and systems for segmenting images

Publications (1)

Publication Number Publication Date
CN114586065A true CN114586065A (zh) 2022-06-03

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CN202080074382.6A Pending CN114586065A (zh) 2019-10-23 2020-10-22 用于分割图像的方法和系统

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US (1) US12475569B2 (https=)
EP (2) EP3813013A1 (https=)
JP (1) JP7755170B2 (https=)
CN (1) CN114586065A (https=)
WO (1) WO2021078823A1 (https=)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102020214300A1 (de) * 2020-11-13 2022-05-19 Robert Bosch Gesellschaft mit beschränkter Haftung Vorrichtung und verfahren zum trainieren eines maschinellen lernmodells zum erkennen einer objekttopologie eines objekts aus einem bild des objekts
KR102403258B1 (ko) * 2021-12-15 2022-05-30 주식회사 리콘랩스 볼륨 추론 기반 3차원 모델링 방법 및 시스템
DE102022206274B4 (de) * 2022-06-22 2024-12-19 Robert Bosch Gesellschaft mit beschränkter Haftung Verfahren zum Steuern eines Roboters zum Manipulieren, insbesondere Aufnehmen, eines Objekts

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106485695A (zh) * 2016-09-21 2017-03-08 西北大学 基于统计形状模型的医学图像Graph Cut分割方法
US20170109881A1 (en) * 2015-10-14 2017-04-20 The Regents Of The University Of California Automated segmentation of organ chambers using deep learning methods from medical imaging
CN108665462A (zh) * 2017-03-27 2018-10-16 西门子保健有限责任公司 用于医学成像的高度集成的注释和分割系统
CN108898606A (zh) * 2018-06-20 2018-11-27 中南民族大学 医学图像的自动分割方法、系统、设备及存储介质

Family Cites Families (7)

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Publication number Priority date Publication date Assignee Title
US6745169B1 (en) * 1995-07-27 2004-06-01 Siemens Aktiengesellschaft Learning process for a neural network
US8417005B1 (en) * 2011-09-15 2013-04-09 Sunnybrook Health Sciences Centre Method for automatic three-dimensional segmentation of magnetic resonance images
CN107667380A (zh) * 2015-06-05 2018-02-06 西门子公司 用于内窥镜和腹腔镜导航的同时场景解析和模型融合的方法和系统
CN109690554B (zh) 2016-07-21 2023-12-05 西门子保健有限责任公司 用于基于人工智能的医学图像分割的方法和系统
US10453200B2 (en) 2016-11-02 2019-10-22 General Electric Company Automated segmentation using deep learned priors
US20180260759A1 (en) * 2017-03-07 2018-09-13 Mighty AI, Inc. Segmentation of Images
US10032281B1 (en) 2017-05-03 2018-07-24 Siemens Healthcare Gmbh Multi-scale deep reinforcement machine learning for N-dimensional segmentation in medical imaging

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170109881A1 (en) * 2015-10-14 2017-04-20 The Regents Of The University Of California Automated segmentation of organ chambers using deep learning methods from medical imaging
CN106485695A (zh) * 2016-09-21 2017-03-08 西北大学 基于统计形状模型的医学图像Graph Cut分割方法
CN108665462A (zh) * 2017-03-27 2018-10-16 西门子保健有限责任公司 用于医学成像的高度集成的注释和分割系统
CN108898606A (zh) * 2018-06-20 2018-11-27 中南民族大学 医学图像的自动分割方法、系统、设备及存储介质

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Publication number Publication date
US20220398740A1 (en) 2022-12-15
US12475569B2 (en) 2025-11-18
JP7755170B2 (ja) 2025-10-16
EP4049237A1 (en) 2022-08-31
JP2022553658A (ja) 2022-12-26
EP3813013A1 (en) 2021-04-28
WO2021078823A1 (en) 2021-04-29

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