Zeng Zeng

A Study of Nuclei Classification Methods in Histopathological Images

Published date : 21 May 2017

Cancer is a group of diseases involving abnormal cell growth with varying malignancy and extent across different patients. Cytological features like prominent nucleoli, nuclear enlargement, and hyperchromasia are important to the tumor pathologist in assessment of cancer malignancy from tissue biopsies. In a recent study, Yap et al. [21] proposed effective prominent nucleoli detectors in histopathological images and developed different feature generation methods.

type
Conference Paper/Poster
journal
Proceedings of the 5th KES International Conference on Innovation in Medicine and Healthcare (KES-InMed 2017)