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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Computational and structural biotechnology journal Ročník 16; s. 34 - 42
Hlavní autoři: Komura, Daisuke, Ishikawa, Shumpei
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
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
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.
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