CN115439449B - 全视野组织学图像的处理方法、装置、介质和电子设备 - Google Patents
全视野组织学图像的处理方法、装置、介质和电子设备 Download PDFInfo
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- CN115439449B CN115439449B CN202211086109.2A CN202211086109A CN115439449B CN 115439449 B CN115439449 B CN 115439449B CN 202211086109 A CN202211086109 A CN 202211086109A CN 115439449 B CN115439449 B CN 115439449B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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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- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
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Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
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CN202211086109.2A CN115439449B (zh) | 2022-09-06 | 2022-09-06 | 全视野组织学图像的处理方法、装置、介质和电子设备 |
PCT/CN2023/116820 WO2024051655A1 (fr) | 2022-09-06 | 2023-09-04 | Procédé et appareil de traitement d'image de lame entière histopathologique, et support et dispositif électronique |
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CN202211086109.2A CN115439449B (zh) | 2022-09-06 | 2022-09-06 | 全视野组织学图像的处理方法、装置、介质和电子设备 |
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CN115439449A CN115439449A (zh) | 2022-12-06 |
CN115439449B true CN115439449B (zh) | 2023-05-09 |
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CN (1) | CN115439449B (fr) |
WO (1) | WO2024051655A1 (fr) |
Families Citing this family (2)
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CN115439449B (zh) * | 2022-09-06 | 2023-05-09 | 抖音视界有限公司 | 全视野组织学图像的处理方法、装置、介质和电子设备 |
CN118379565A (zh) * | 2024-06-25 | 2024-07-23 | 中国科学院自动化研究所 | 基于信息瓶颈与因果学习的因果子图提取方法、装置 |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114549896A (zh) * | 2022-01-24 | 2022-05-27 | 清华大学 | 用于生存预测的全视野图像的异构高阶表示方法及装置 |
CN114708347A (zh) * | 2022-03-22 | 2022-07-05 | 江门市中心医院 | 一种基于自适应选择的双源域异构迁移学习的肺结节ct图像分类方法 |
Family Cites Families (11)
Publication number | Priority date | Publication date | Assignee | Title |
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US11113293B2 (en) * | 2019-01-18 | 2021-09-07 | Adobe Inc. | Latent network summarization |
GB201913616D0 (en) * | 2019-09-20 | 2019-11-06 | Univ Oslo Hf | Histological image analysis |
US20210372938A1 (en) * | 2020-05-29 | 2021-12-02 | The Board Of Trustee Of The University Of Alabama | Deep learning-based crack segmentation through heterogeneous image fusion |
CN112215837B (zh) * | 2020-10-26 | 2023-01-06 | 北京邮电大学 | 多属性图像语义分析方法和装置 |
CN112419151B (zh) * | 2020-11-19 | 2023-07-21 | 北京有竹居网络技术有限公司 | 图像退化处理方法、装置、存储介质及电子设备 |
US11688061B2 (en) * | 2020-11-20 | 2023-06-27 | International Business Machines Corporation | Interpretation of whole-slide images in digital pathology |
US20220198813A1 (en) * | 2020-12-17 | 2022-06-23 | Sri International | System and method for efficient visual navigation |
CN113658178B (zh) * | 2021-10-14 | 2022-01-25 | 北京字节跳动网络技术有限公司 | 组织图像的识别方法、装置、可读介质和电子设备 |
CN114445356A (zh) * | 2022-01-19 | 2022-05-06 | 上海交通大学 | 基于多分辨率的全视野病理切片图像肿瘤快速定位方法 |
CN114565919B (zh) * | 2022-01-19 | 2024-06-07 | 深圳先进技术研究院 | 基于数字病理图像的肿瘤微环境空间关系建模系统与方法 |
CN115439449B (zh) * | 2022-09-06 | 2023-05-09 | 抖音视界有限公司 | 全视野组织学图像的处理方法、装置、介质和电子设备 |
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- 2022-09-06 CN CN202211086109.2A patent/CN115439449B/zh active Active
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- 2023-09-04 WO PCT/CN2023/116820 patent/WO2024051655A1/fr unknown
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114549896A (zh) * | 2022-01-24 | 2022-05-27 | 清华大学 | 用于生存预测的全视野图像的异构高阶表示方法及装置 |
CN114708347A (zh) * | 2022-03-22 | 2022-07-05 | 江门市中心医院 | 一种基于自适应选择的双源域异构迁移学习的肺结节ct图像分类方法 |
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WO2024051655A1 (fr) | 2024-03-14 |
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