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Cited by 696

The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.

Breast Cancer Histopathology Image Analysis: A Review

Veta, Mitko, Pluim, Josien P. W., van Diest, Paul J., Viergever, Max A.·2014·IEEE Transactions on Biomedical Engineering
DOI 10.1109/tbme.2014.2303852
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Abstract

This paper presents an overview of methods that have been proposed for the analysis of breast cancer histopathology images. This research area has become particularly relevant with the advent of whole slide imaging (WSI) scanners, which can perform cost-effective and high-throughput histopathology slide digitization, and which aim at replacing the optical microscope as the primary tool used by pathologist. Breast cancer is the most prevalent form of cancers among women, and image analysis methods that target this disease have a huge potential to reduce the workload in a typical pathology lab and to improve the quality of the interpretation. This paper is meant as an introduction for nonexperts. It starts with an overview of the tissue preparation, staining and slide digitization processes followed by a discussion of the different image processing techniques and applications, ranging from analysis of tissue staining to computer-aided diagnosis, and prognosis of breast cancer patients.

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Metadata

Authors
Veta, M., Pluim, J. P. W., van Diest, P. J., & Viergever, M. A.
Venue
IEEE Transactions on Biomedical Engineering
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2014-05
Volume
61
Issue
5
Pages
1400-1411
ISSN
  • 0018-9294 (ISSN-L)
  • 1558-2531
DOI
10.1109/tbme.2014.2303852
OpenAlex
W2151608510
Cited by
696
References
82
FWCI
38.95
Type
journal article
Language
en
Open access
closed

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