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., ...Daha Fazla

MEDICAL IMAGE ANALYSIS, cilt.20, sa.1, ss.237-248, 2015 (SCI-Expanded) identifier identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 20 Sayı: 1
  • Basım Tarihi: 2015
  • Doi Numarası: 10.1016/j.media.2014.11.010
  • Dergi Adı: MEDICAL IMAGE ANALYSIS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.237-248
  • Anahtar Kelimeler: Breast cancer, Whole slide imaging, Digital pathology, Mitosis detection, Cancer grading, COUNTING MITOSES, SECTIONS
  • İstanbul Teknik Üniversitesi Adresli: Hayır

Özet

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.