Breast cancer histopathology image analysis: A review

Mitko Veta, Josien P W Pluim, Paul J. Van Diest, Max A. Viergever

Research output: Contribution to journalArticlepeer-review

341 Scopus citations


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.

Original languageEnglish (US)
Article number6729079
Pages (from-to)1400-1411
Number of pages12
JournalIEEE Transactions on Biomedical Engineering
Issue number5
StatePublished - 2014
Externally publishedYes


  • Breast cancer
  • computer-aided diagnosis
  • digital pathology
  • histopathology
  • image analysis
  • object detection
  • object segmentation

ASJC Scopus subject areas

  • Biomedical Engineering
  • Medicine(all)


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