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 PDFInfo
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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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- 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
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- 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
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- 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)
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 (19)
| 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)
| 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 |
| 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 |
-
2016
- 2016-11-22 WO PCT/EP2016/078477 patent/WO2018095516A1/en not_active Ceased
- 2016-11-22 US US16/462,879 patent/US10964018B2/en active Active
- 2016-11-22 EP EP16798771.8A patent/EP3545491B1/en active Active
- 2016-11-22 JP JP2019547759A patent/JP6885564B2/ja active Active
- 2016-11-22 ES ES16798771T patent/ES2842850T3/es active Active
Also Published As
| Publication number | Publication date |
|---|---|
| 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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