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

Info

Publication number
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
Authority
ES
Spain
Prior art keywords
classification
pixel
hyper spectral
grouping
hyper
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
ES16798771T
Other languages
English (en)
Spanish (es)
Inventor
Callico Gustavo Marrero
Gomez Himar Antonio Fabelo
Sarmiento Samuel Ortega
Bogdan Stanciulescu
Ravi Kiran Bangalore
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.)
University of Las Palmas de Gran Canaria
Original Assignee
University of Las Palmas de Gran Canaria
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 University of Las Palmas de Gran Canaria filed Critical University of Las Palmas de Gran Canaria
Application granted granted Critical
Publication of ES2842850T3 publication Critical patent/ES2842850T3/es
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • 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

Landscapes

  • 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)

Publication Number Publication Date
ES2842850T3 true ES2842850T3 (es) 2021-07-15

Family

ID=57389451

Family Applications (1)

Application Number Title Priority Date Filing Date
ES16798771T Active ES2842850T3 (es) 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

Country Status (5)

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

Families Citing this family (21)

* 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
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
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
EP4641584A3 (en) * 2019-05-14 2025-12-10 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
EP4028989A1 (en) 2019-09-09 2022-07-20 PAIGE.AI, 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
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
US12651338B2 (en) 2021-04-22 2026-06-09 Keio University Image diagnossis assistance device, image diagnossis assistance method, and image diagnossis assistance program
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
CN117615701A (zh) 2021-07-14 2024-02-27 高露洁-棕榄公司 用于组织特性的三维光谱成像的技术
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)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN104968257B (zh) 2013-01-30 2018-04-10 皇家飞利浦有限公司 具有高光谱相机引导的探头的成像系统
JP6527086B2 (ja) 2013-03-15 2019-06-05 シナプティヴ メディカル （バルバドス） インコーポレイテッドＳｙｎａｐｔｉｖｅ Ｍｅｄｉｃａｌ （Ｂａｒｂａｄｏｓ） Ｉｎｃ． ハイパースペクトル手術用撮像システム
US10169866B2 (en) 2014-04-22 2019-01-01 Hitachi, Ltd. Medical image processing and diagnostic image generation device for predetermined types of diagnostic information
JP6893877B2 (ja) * 2014-10-29 2021-06-23 スペクトラル エムディー, インコーポレイテッドSpectral Md, Inc. 組織を分類するための反射モードマルチスペクトル時間分解型光学イメージングの方法および装置
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
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

Also Published As

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

Similar Documents

Publication Publication Date Title
EP3545491B1 (en) Method of non-invasive detection of tumour and/or healthy tissue and hyperspectral imaging apparatus
Fabelo et al. In-vivo hyperspectral human brain image database for brain cancer detection
US11257213B2 (en) Tumor boundary reconstruction using hyperspectral imaging
Maglogiannis et al. Overview of advanced computer vision systems for skin lesions characterization
ES2805008T3 (es) Procedimiento y sistema para proporcionar recomendaciones para la ejecución óptima de procedimientos quirúrgicos
ES2988511T3 (es) Predicción de una condición patológica a partir de una imagen médica
US20210153722A1 (en) Medical image processing system
US11881190B2 (en) Medical image processing apparatus
Lu et al. Hyperspectral imaging of neoplastic progression in a mouse model of oral carcinogenesis
CN113905659B (zh) 用于淋巴结和血管成像的系统和方法
WO2021226493A1 (en) Label-free real-time hyperspectral endoscopy for molecular-guided cancer surgery
EP3716136A1 (en) Tumor boundary reconstruction using hyperspectral imaging
Pike et al. A minimum spanning forest based hyperspectral image classification method for cancerous tissue detection
ES2999091T3 (en) Verification of segmentation of luminescence images limited to analysis regions thereof
Modir et al. LED-based, real-time, hyperspectral imaging device
JP7478245B2 (ja) 医療画像装置及びその作動方法
EP4189643B1 (en) Processing of multiple luminescence images globally for their mapping and/or segmentation
US20240412362A1 (en) Method and device of inspecting a fluorescence image of a mammal tissue
WO2018055061A1 (en) Hyperspectral tissue imaging
Jurjuţ et al. Detection of Cervical Intraepithelial Neoplasia Using Hyperspectral Tissue Signatures
Dadzie et al. Deep learning for automated diagnosis of uveal melanoma
Martínez-González et al. Can hyperspectral images be used to detect brain tumor pixels and their malignant phenotypes?
Pratavieira et al. Development of a widefield reflectance and fluorescence imaging device for the detection of skin and oral cancer
Unger et al. The role of machine learning and time-resolved autofluorescence imaging for intraoperative cancer margin delineation
León Martín Contributions to the development of hyperspectral imaging instrumentation and algorithms for medical applications targeting real-time performance