ES2842850T3 - Procedimiento de detección no invasiva de tejido de tumor y/o tejido sano y aparato de imágenes hiper espectrales - Google Patents

Procedimiento de detección no invasiva de tejido de tumor y/o tejido sano y aparato de imágenes hiper espectrales Download PDF

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ES2842850T3
ES2842850T3 ES16798771T ES16798771T ES2842850T3 ES 2842850 T3 ES2842850 T3 ES 2842850T3 ES 16798771 T ES16798771 T ES 16798771T ES 16798771 T ES16798771 T ES 16798771T ES 2842850 T3 ES2842850 T3 ES 2842850T3
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classification
pixel
hyper spectral
grouping
hyper
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Callico Gustavo Marrero
Gomez Himar Antonio Fabelo
Sarmiento Samuel Ortega
Bogdan Stanciulescu
Ravi Kiran Bangalore
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Universidad de las Palmas de Gran Canaria
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Universidad de las Palmas de Gran Canaria
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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
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G06F18/232—Non-hierarchical techniques
    • G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
    • G06F18/23213—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24147—Distances to closest patterns, e.g. nearest neighbour classification
    • 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
    • G06V10/762—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
    • G06V10/763—Non-hierarchical techniques, e.g. based on statistics of modelling distributions
    • 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
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • 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
    • G06T2207/10056—Microscopic image
    • 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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30016—Brain
    • 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
    • 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
    • G06V10/58—Extraction of image or video features relating to hyperspectral data
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03—Recognition of patterns in medical or anatomical images
    • 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

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Medical Informatics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Probability & Statistics with Applications (AREA)
  • Computing Systems (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Quality & Reliability (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Image Analysis (AREA)
ES16798771T 2016-11-22 2016-11-22 Procedimiento de detección no invasiva de tejido de tumor y/o tejido sano y aparato de imágenes hiper espectrales Active ES2842850T3 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/EP2016/078477 WO2018095516A1 (en) 2016-11-22 2016-11-22 Method of non-invasive detection of tumour and/or healthy tissue and hyperspectral imaging apparatus

Publications (1)

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ES2842850T3 true ES2842850T3 (es) 2021-07-15

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US (1) US10964018B2 (cg-RX-API-DMAC7.html)
EP (1) EP3545491B1 (cg-RX-API-DMAC7.html)
JP (1) JP6885564B2 (cg-RX-API-DMAC7.html)
ES (1) ES2842850T3 (cg-RX-API-DMAC7.html)
WO (1) WO2018095516A1 (cg-RX-API-DMAC7.html)

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JP6392476B1 (ja) * 2018-03-19 2018-09-19 大輝 中矢 生体組織解析装置および生体組織解析プログラム
CN109543717B (zh) * 2018-10-25 2021-07-20 中国地质大学（北京） 基于自适应邻域及字典的联合协作表达高光谱分类方法
US11257213B2 (en) * 2018-10-25 2022-02-22 Koninklijke Philips N.V. Tumor boundary reconstruction using hyperspectral imaging
JP7258568B2 (ja) * 2019-01-18 2023-04-17 キヤノンメディカルシステムズ株式会社 超音波診断装置、画像処理装置、及び画像処理プログラム
CN109871768B (zh) * 2019-01-18 2022-04-29 西北工业大学 基于共享最近邻的高光谱最优波段选择方法
JP7550459B2 (ja) * 2019-05-14 2024-09-13 ユニバーシティ オブ ピッツバーグ－オブ ザ コモンウェルス システム オブ ハイヤー エデュケーション マルチパラメータ細胞・細胞内撮像データから細胞表現型多様性を特徴付けるシステム及び方法
CN110309868A (zh) * 2019-06-24 2019-10-08 西北工业大学 结合无监督学习的高光谱图像分类方法
CN114616590A (zh) * 2019-09-09 2022-06-10 佩治人工智能公司 用于为数字病理学处理载玻片图像的系统和方法
EP3805835B1 (en) * 2019-10-10 2023-10-04 Leica Instruments (Singapore) Pte. Ltd. Optical imaging system and related apparatus, method and computer program
JP2023529189A (ja) 2020-06-03 2023-07-07 キングス カレッジ ロンドン モザイク除去とスペクトル特徴推定を共に実施する方法及びシステム
CN111783865B (zh) * 2020-06-23 2022-03-15 西北工业大学 基于空谱邻域嵌入和最优相似图的高光谱分类方法
CN111833353B (zh) * 2020-07-16 2022-04-12 四川九洲电器集团有限责任公司 一种基于图像分割的高光谱目标检测方法
JP7665327B2 (ja) * 2020-12-17 2025-04-21 富士フイルム株式会社 画像解析装置、画像解析方法、及び画像解析プログラム
US11410316B1 (en) * 2021-01-27 2022-08-09 UiPath, Inc. System and computer-implemented method for validation of label data
CN112905823B (zh) * 2021-02-22 2023-10-31 深圳市国科光谱技术有限公司 一种基于大数据平台的高光谱物质检测识别系统及方法
CN113327256B (zh) * 2021-05-28 2024-11-05 深圳前海微众银行股份有限公司 多光谱图像的分割方法、装置、电子设备及存储介质
DE102021121635A1 (de) * 2021-08-20 2023-02-23 Carl Zeiss Microscopy Gmbh Automatisiertes trainieren eines maschinengelernten algorithmus basierend auf der überwachung einer mikroskopiemessung
US12475555B2 (en) * 2021-11-24 2025-11-18 Applied Materials, Inc. Artificial intelligence-based hyperspectrally resolved detection of anomalous cells
WO2023121167A1 (ko) * 2021-12-23 2023-06-29 주식회사 씨젠 검출 장치의 성능을 예측하기 위한 방법

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JP2012005512A (ja) 2010-06-22 2012-01-12 Olympus Corp 画像処理装置、内視鏡装置、内視鏡システム、プログラム及び画像処理方法
WO2015023990A1 (en) 2013-08-15 2015-02-19 The Trustees Of Dartmouth College Method and apparatus for quantitative and depth resolved hyperspectral fluorescence and reflectance imaging for surgical guidance
WO2014118674A2 (en) 2013-01-30 2014-08-07 Koninklijke Philips N.V. Imaging system with hyperspectral camera guided probe
CN105263398B (zh) 2013-03-15 2018-05-11 圣纳普医疗(巴巴多斯)公司 手术成像系统
JP6250795B2 (ja) 2014-04-22 2017-12-20 株式会社日立製作所 医用画像診断支援装置、磁気共鳴イメージング装置および医用画像診断支援方法
US11304604B2 (en) * 2014-10-29 2022-04-19 Spectral Md, Inc. Reflective mode multi-spectral time-resolved optical imaging methods and apparatuses for tissue classification
WO2018160963A1 (en) * 2017-03-02 2018-09-07 Spectral Md, Inc. Machine learning systems and techniques for multispectral amputation site analysis
CA3081643A1 (en) * 2017-11-06 2019-05-09 University Health Network Platform, device and process for annotation and classification of tissue specimens using convolutional neural network
US11257213B2 (en) * 2018-10-25 2022-02-22 Koninklijke Philips N.V. Tumor boundary reconstruction using hyperspectral imaging

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EP3545491B1 (en) 2020-10-14
JP6885564B2 (ja) 2021-06-16
US20190279362A1 (en) 2019-09-12
US10964018B2 (en) 2021-03-30
JP2019537180A (ja) 2019-12-19
WO2018095516A1 (en) 2018-05-31
EP3545491A1 (en) 2019-10-02

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