JP2019537180A5 - - Google Patents
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- JP2019537180A5 JP2019537180A5 JP2019547759A JP2019547759A JP2019537180A5 JP 2019537180 A5 JP2019537180 A5 JP 2019537180A5 JP 2019547759 A JP2019547759 A JP 2019547759A JP 2019547759 A JP2019547759 A JP 2019547759A JP 2019537180 A5 JP2019537180 A5 JP 2019537180A5
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- Prior art keywords
- pixel
- classification
- cluster
- hyperspectral
- image
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- 238000000034 method Methods 0.000 claims 19
- 206010028980 Neoplasm Diseases 0.000 claims 4
- 238000000701 chemical imaging Methods 0.000 claims 4
- 230000003287 optical effect Effects 0.000 claims 4
- 238000013459 approach Methods 0.000 claims 3
- 238000001914 filtration Methods 0.000 claims 3
- 238000000265 homogenisation Methods 0.000 claims 3
- 238000012935 Averaging Methods 0.000 claims 2
- 238000007781 pre-processing Methods 0.000 claims 2
- 238000012545 processing Methods 0.000 claims 2
- 230000003595 spectral effect Effects 0.000 claims 2
- 210000004204 blood vessel Anatomy 0.000 claims 1
- 238000004891 communication Methods 0.000 claims 1
- 238000004590 computer program Methods 0.000 claims 1
- 230000002596 correlated effect Effects 0.000 claims 1
- 230000000875 corresponding effect Effects 0.000 claims 1
- 238000001514 detection method Methods 0.000 claims 1
- 238000005286 illumination Methods 0.000 claims 1
- 238000010801 machine learning Methods 0.000 claims 1
- 206010061289 metastatic neoplasm Diseases 0.000 claims 1
- 238000002156 mixing Methods 0.000 claims 1
- 238000010606 normalization Methods 0.000 claims 1
- 230000000007 visual effect Effects 0.000 claims 1
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 (3)
| Publication Number | Publication Date |
|---|---|
| JP2019537180A JP2019537180A (ja) | 2019-12-19 |
| JP2019537180A5 true JP2019537180A5 (https=) | 2020-02-06 |
| JP6885564B2 JP6885564B2 (ja) | 2021-06-16 |
Family
ID=57389451
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2019547759A Active JP6885564B2 (ja) | 2016-11-22 | 2016-11-22 | 腫瘍および／または健常組織の非侵襲的検出方法およびハイパースペクトルイメージング装置 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US10964018B2 (https=) |
| EP (1) | EP3545491B1 (https=) |
| JP (1) | JP6885564B2 (https=) |
| ES (1) | ES2842850T3 (https=) |
| WO (1) | WO2018095516A1 (https=) |
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 |
| CN113826169A (zh) * | 2019-05-14 | 2021-12-21 | 匹兹堡大学高等教育联邦体系 | 用于根据多参数细胞和亚细胞成像数据表征细胞表型多样性的系统和方法 |
| 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 |
| JP7686201B2 (ja) | 2019-09-09 | 2025-06-02 | ペイジ．エーアイ インコーポレイテッド | デジタル病理学のためのスライドの画像を処理するためのシステムおよび方法 |
| EP3805835B1 (en) | 2019-10-10 | 2023-10-04 | Leica Instruments (Singapore) Pte. Ltd. | Optical imaging system and related apparatus, method and computer program |
| US12332117B2 (en) | 2020-06-03 | 2025-06-17 | Hypervision Surgical Limited | 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 |
| WO2023121167A1 (ko) * | 2021-12-23 | 2023-06-29 | 주식회사 씨젠 | 검출 장치의 성능을 예측하기 위한 방법 |
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 |
| EP2950708B1 (en) | 2013-01-30 | 2019-01-16 | Koninklijke Philips N.V. | Imaging system with hyperspectral camera guided probe |
| MY177299A (en) | 2013-03-15 | 2020-09-11 | Synaptive Medical 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 |
| 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 |
| US11636288B2 (en) * | 2017-11-06 | 2023-04-25 | 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 US US16/462,879 patent/US10964018B2/en active Active
- 2016-11-22 JP JP2019547759A patent/JP6885564B2/ja active Active
- 2016-11-22 EP EP16798771.8A patent/EP3545491B1/en active Active
- 2016-11-22 WO PCT/EP2016/078477 patent/WO2018095516A1/en not_active Ceased
- 2016-11-22 ES ES16798771T patent/ES2842850T3/es active Active
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