Assessment of algorithms for mitosis detection in breast cancer histopathology images


Veta M., van Diest P. J. , Willems S. M. , Wang H., Madabhushi A., Cruz-Roa A., ...More

MEDICAL IMAGE ANALYSIS, vol.20, no.1, pp.237-248, 2015 (SCI-Expanded) identifier identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 20 Issue: 1
  • Publication Date: 2015
  • Doi Number: 10.1016/j.media.2014.11.010
  • Journal Name: MEDICAL IMAGE ANALYSIS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.237-248
  • Keywords: Breast cancer, Whole slide imaging, Digital pathology, Mitosis detection, Cancer grading, COUNTING MITOSES, SECTIONS
  • Istanbul Technical University Affiliated: No

Abstract

The proliferative activity of breast tumors, which is routinely estimated by counting of mitotic figures in hematoxylin and eosin stained histology sections, is considered to be one of the most important prognostic markers. However, mitosis counting is laborious, subjective and may suffer from low inter-observer agreement. With the wider acceptance of whole slide images in pathology labs, automatic image analysis has been proposed as a potential solution for these issues.