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Machine Learning Methods for Histopathological Image Analysis

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Komura, Daisuke, Ishikawa, Shumpei·2018·Computational and Structural Biotechnology Journal

DOI 10.1016/j.csbj.2018.01.001PMC PMC6158771

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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.

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Authors: Komura, D., & Ishikawa, S.
Affiliations: Tokyo Medical and Dental University (JP)
Corresponding author: Komura, Daisuke
ORCID: Komura, Daisuke
Ishikawa, Shumpei
Venue: Computational and Structural Biotechnology Journal
Publisher: American Association for the Advancement of Science (AAAS)
Published: 2018-01
Volume: 16
Pages: 34-42
ISSN: 2001-0370 (ISSN-L)
DOI: 10.1016/j.csbj.2018.01.001
PMC: PMC6158771
OpenAlex: W2751723768
Cited by: 937
References: 111
Citations by year: 2026: 95 · 2025: 111 · 2024: 104 · 2023: 122 · 2022: 114 · 2021: 140 · 2020: 146 · 2019: 88 · 2018: 17
FWCI: 11.44
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
creativecommons.org/licenses/by/4.0/ (vor, 15 d)
Locations: Computational and Structural Biotechnology Journal (publishedVersion, cc-by)
Europe PMC (PubMed Central) (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
arXiv (Cornell University) (submittedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
arXiv (Cornell University) (cc-by)
Funders: JSPS (25710020)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Cell Image Analysis Techniques
Keywords: digital histopathology, histopathology image analysis, computer-aided diagnosis, machine learning

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Machine Learning Methods for Histopathological Image Analysis

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