期刊
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
卷 16, 期 -, 页码 34-42出版社
ELSEVIER
DOI: 10.1016/j.csbj.2018.01.001
关键词
Histopathology; Deep learning; Machine learning; Whole slide images; Computer assisted diagnosis; Digital image analysis
资金
- JSPS [25710020]
- Grants-in-Aid for Scientific Research [16H02481] Funding Source: KAKEN
Abundant accumulation of digital histopathological images has led to the increased demand for their analysis, such as computer-aided diagnosis using machine learning techniques. However, digital pathological images and related tasks have some issues to be considered. In this mini-review, we introduce the application of digital pathological image analysis using machine learning algorithms, address some problems specific to suchanalysis, and propose possible solutions. (C) 2018 Komura, Ishikawa. Published by Elsevier B.V. on behalf of the Research Network of Computational and Structural Biotechnology.
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