Machine Learning Methods for Histopathological Image Analysis
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 introduc...
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| Vydáno v: | Computational and structural biotechnology journal Ročník 16; s. 34 - 42 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Netherlands
Elsevier B.V
01.01.2018
Research Network of Computational and Structural Biotechnology Elsevier |
| Témata: | |
| ISSN: | 2001-0370, 2001-0370 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | 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 such analysis, and propose possible solutions. |
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| Bibliografie: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Review-3 |
| ISSN: | 2001-0370 2001-0370 |
| DOI: | 10.1016/j.csbj.2018.01.001 |