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.
Description
Machine Learning Methods for Histopathological Image Analysis - ScienceDirect
%0 Journal Article
%1 KOMURA201834
%A Komura, Daisuke
%A Ishikawa, Shumpei
%D 2018
%J Computational and Structural Biotechnology Journal
%K deep_learning histology pathology read transfer_learning
%P 34 - 42
%R https://doi.org/10.1016/j.csbj.2018.01.001
%T Machine Learning Methods for Histopathological Image Analysis
%U http://www.sciencedirect.com/science/article/pii/S2001037017300867
%V 16
%X 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.
@article{KOMURA201834,
abstract = {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.},
added-at = {2019-05-06T13:09:45.000+0200},
author = {Komura, Daisuke and Ishikawa, Shumpei},
biburl = {https://www.bibsonomy.org/bibtex/29cedeaa2b2254d37b80a90df4fddaa7e/dickscheid},
description = {Machine Learning Methods for Histopathological Image Analysis - ScienceDirect},
doi = {https://doi.org/10.1016/j.csbj.2018.01.001},
interhash = {d6498ffadcc9e150f1047b3bf2a7ec95},
intrahash = {9cedeaa2b2254d37b80a90df4fddaa7e},
issn = {2001-0370},
journal = {Computational and Structural Biotechnology Journal},
keywords = {deep_learning histology pathology read transfer_learning},
pages = {34 - 42},
timestamp = {2019-05-06T13:09:45.000+0200},
title = {Machine Learning Methods for Histopathological Image Analysis},
url = {http://www.sciencedirect.com/science/article/pii/S2001037017300867},
volume = 16,
year = 2018
}