Machine Learning Methods for Histopathological Image Analysis: A Review
Histopathological images (HIs) are the gold standard for evaluating some types of tumors for cancer diagnosis. The analysis of such images is time and resource-consuming and very challenging even for experienced pathologists, resulting in inter-observer and intra-observer disagreements. One of the w...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/10/5/562 |
| _version_ | 1797417498927169536 |
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| author | Jonathan de Matos Steve Tsham Mpinda Ataky Alceu de Souza Britto Luiz Eduardo Soares de Oliveira Alessandro Lameiras Koerich |
| author_facet | Jonathan de Matos Steve Tsham Mpinda Ataky Alceu de Souza Britto Luiz Eduardo Soares de Oliveira Alessandro Lameiras Koerich |
| author_sort | Jonathan de Matos |
| collection | DOAJ |
| description | Histopathological images (HIs) are the gold standard for evaluating some types of tumors for cancer diagnosis. The analysis of such images is time and resource-consuming and very challenging even for experienced pathologists, resulting in inter-observer and intra-observer disagreements. One of the ways of accelerating such an analysis is to use computer-aided diagnosis (CAD) systems. This paper presents a review on machine learning methods for histopathological image analysis, including shallow and deep learning methods. We also cover the most common tasks in HI analysis, such as segmentation and feature extraction. Besides, we present a list of publicly available and private datasets that have been used in HI research. |
| first_indexed | 2024-03-09T06:20:39Z |
| format | Article |
| id | doaj.art-4d90c7e6d77b48e084c33aa1596ef59d |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T06:20:39Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-4d90c7e6d77b48e084c33aa1596ef59d2023-12-03T11:48:15ZengMDPI AGElectronics2079-92922021-02-0110556210.3390/electronics10050562Machine Learning Methods for Histopathological Image Analysis: A ReviewJonathan de Matos0Steve Tsham Mpinda Ataky1Alceu de Souza Britto2Luiz Eduardo Soares de Oliveira3Alessandro Lameiras Koerich4École de Technologie Superiéure, Université du Québec, Montréal, QC H3C 1K3, CanadaÉcole de Technologie Superiéure, Université du Québec, Montréal, QC H3C 1K3, CanadaDepartment of Informatics, State University of Ponta Grossa, Ponta Grossa PR 84030-900, BrazilDepartment of Informatics, Federal University of Paraná, Curitiba PR 81531-990, BrazilÉcole de Technologie Superiéure, Université du Québec, Montréal, QC H3C 1K3, CanadaHistopathological images (HIs) are the gold standard for evaluating some types of tumors for cancer diagnosis. The analysis of such images is time and resource-consuming and very challenging even for experienced pathologists, resulting in inter-observer and intra-observer disagreements. One of the ways of accelerating such an analysis is to use computer-aided diagnosis (CAD) systems. This paper presents a review on machine learning methods for histopathological image analysis, including shallow and deep learning methods. We also cover the most common tasks in HI analysis, such as segmentation and feature extraction. Besides, we present a list of publicly available and private datasets that have been used in HI research.https://www.mdpi.com/2079-9292/10/5/562histopathological imagesmachine learningreview |
| spellingShingle | Jonathan de Matos Steve Tsham Mpinda Ataky Alceu de Souza Britto Luiz Eduardo Soares de Oliveira Alessandro Lameiras Koerich Machine Learning Methods for Histopathological Image Analysis: A Review Electronics histopathological images machine learning review |
| title | Machine Learning Methods for Histopathological Image Analysis: A Review |
| title_full | Machine Learning Methods for Histopathological Image Analysis: A Review |
| title_fullStr | Machine Learning Methods for Histopathological Image Analysis: A Review |
| title_full_unstemmed | Machine Learning Methods for Histopathological Image Analysis: A Review |
| title_short | Machine Learning Methods for Histopathological Image Analysis: A Review |
| title_sort | machine learning methods for histopathological image analysis a review |
| topic | histopathological images machine learning review |
| url | https://www.mdpi.com/2079-9292/10/5/562 |
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