KALAW Emarene

Automated Image Based Prominent Nucleoli Detection

Published date : 23 Jun 2015

Nucleolar changes in cancer cells are one of the cytologic features important to the tumor pathologist in cancer assessments of tissue biopsies. However, inter-observer variability and the manual approach to this work hamper the accuracy of the assessment by pathologists. In this paper, we propose a computational method for prominent nucleoli pattern detection. Materials and Methods: Thirty-five hematoxylin and eosin stained images were acquired from prostate cancer, breast cancer, renal clear cell cancer and renal papillary cell cancer tissues.

type
Journal Paper
journal
Journal of Pathology Informatics 2015, Vol. 6, Issue 1,doi: 10.4103/2153-3539.159232