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...

Descripción completa

Detalles Bibliográficos
Autores principales: Komura, Daisuke, Ishikawa, Shumpei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2018
Materias:
Short Survey
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6158771/
https://www.ncbi.nlm.nih.gov/pubmed/30275936
http://dx.doi.org/10.1016/j.csbj.2018.01.001
_version_ 1783358484891303936
author Komura, Daisuke
Ishikawa, Shumpei
author_facet Komura, Daisuke
Ishikawa, Shumpei
author_sort Komura, Daisuke
collection PubMed
description 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.
format Online
Article
Text
id pubmed-6158771
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Research Network of Computational and Structural Biotechnology
record_format MEDLINE/PubMed
spelling pubmed-61587712018-10-01 Machine Learning Methods for Histopathological Image Analysis Komura, Daisuke Ishikawa, Shumpei Comput Struct Biotechnol J Short Survey 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. Research Network of Computational and Structural Biotechnology 2018-02-09 /pmc/articles/PMC6158771/ /pubmed/30275936 http://dx.doi.org/10.1016/j.csbj.2018.01.001 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Short Survey
Komura, Daisuke
Ishikawa, Shumpei
Machine Learning Methods for Histopathological Image Analysis
title Machine Learning Methods for Histopathological Image Analysis
title_full Machine Learning Methods for Histopathological Image Analysis
title_fullStr Machine Learning Methods for Histopathological Image Analysis
title_full_unstemmed Machine Learning Methods for Histopathological Image Analysis
title_short Machine Learning Methods for Histopathological Image Analysis
title_sort machine learning methods for histopathological image analysis
topic Short Survey
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6158771/
https://www.ncbi.nlm.nih.gov/pubmed/30275936
http://dx.doi.org/10.1016/j.csbj.2018.01.001
work_keys_str_mv AT komuradaisuke machinelearningmethodsforhistopathologicalimageanalysis
AT ishikawashumpei machinelearningmethodsforhistopathologicalimageanalysis

Ejemplares similares