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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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/23Clustering techniques
    • G06F18/232Non-hierarchical techniques
    • G06F18/2321Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
    • G06F18/23213Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24147Distances to closest patterns, e.g. nearest neighbour classification
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/762Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
    • G06V10/763Non-hierarchical techniques, e.g. based on statistics of modelling distributions
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10056Microscopic image
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20081Training; Learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30016Brain
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30096Tumor; Lesion
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/58Extraction of image or video features relating to hyperspectral data
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03Recognition of patterns in medical or anatomical images
    • 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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  • 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

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ES2842850T3 true ES2842850T3 (es) 2021-07-15

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US (1) US10964018B2 (enExample)
EP (1) EP3545491B1 (enExample)
JP (1) JP6885564B2 (enExample)
ES (1) ES2842850T3 (enExample)
WO (1) WO2018095516A1 (enExample)

Families Citing this family (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
US11257213B2 (en) * 2018-10-25 2022-02-22 Koninklijke Philips N.V. Tumor boundary reconstruction using hyperspectral imaging
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
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
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
EP3969978B1 (en) * 2019-05-14 2025-10-01 University of Pittsburgh - of the Commonwealth System of Higher Education System and method for characterizing cellular phenotypic diversity from multi-parameter cellular. and sub-cellular imaging data
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
WO2021050421A1 (en) * 2019-09-09 2021-03-18 Paige.Al, Inc. Systems and methods for processing images of slides for digital pathology
EP3805835B1 (en) 2019-10-10 2023-10-04 Leica Instruments (Singapore) Pte. Ltd. Optical imaging system and related apparatus, method and computer program
EP4162242A1 (en) 2020-06-03 2023-04-12 King's College London Method and system for joint demosaicking and spectral signature estimation
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
WO2023096971A1 (en) * 2021-11-24 2023-06-01 Applied Materials, Inc. Artificial intelligence-based hyperspectrally resolved detection of anomalous cells
US20250060380A1 (en) * 2021-12-23 2025-02-20 Seegene, Inc. Method For Predicting Performance Of Detection Device

Family Cites Families (9)

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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
JP6247316B2 (ja) 2013-01-30 2017-12-13 コーニンクレッカ フィリップス エヌ ヴェKoninklijke Philips N.V. ハイパースペクトルカメラガイドプローブを持つイメージングシステム
WO2014139020A1 (en) 2013-03-15 2014-09-18 Synaptive Medical (Barbados) Inc. Surgical imaging systems
US10169866B2 (en) * 2014-04-22 2019-01-01 Hitachi, Ltd. Medical image processing and diagnostic image generation device for predetermined types of diagnostic information
EP3212057B1 (en) * 2014-10-29 2021-12-01 Spectral MD, Inc. Reflective mode multi-spectral time-resolved optical imaging methods and apparatuses for tissue classification
CN110573066A (zh) * 2017-03-02 2019-12-13 光谱Md公司 用于多光谱截肢部位分析的机器学习系统和技术
WO2019084697A1 (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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US20190279362A1 (en) 2019-09-12
JP2019537180A (ja) 2019-12-19
US10964018B2 (en) 2021-03-30
EP3545491B1 (en) 2020-10-14
WO2018095516A1 (en) 2018-05-31
EP3545491A1 (en) 2019-10-02
JP6885564B2 (ja) 2021-06-16

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