Hyperchromatic Nucleus Segmentation on Breast Histopathological Images for Mitosis Detection

Authors

  • Tan Xiao Jian School of Mechatronic Engineering, University Malaysia Perlis, 02600 Arau, Perlis, Malaysia.
  • Nazahah Mustafa School of Mechatronic Engineering, University Malaysia Perlis, 02600 Arau, Perlis, Malaysia.
  • Mohd Yusoff Mashor School of Mechatronic Engineering, University Malaysia Perlis, 02600 Arau, Perlis, Malaysia.
  • Khairul Shakir Ab Rahman Hospital Tuanku Fauziah, 01000 Kangar, Perlis, Malaysia.

Keywords:

Breast Cancer, Hyperchromatic Nucleus, Mitosis, Nucleus Candidates,

Abstract

Breast cancer grading is the standard clinical practice for the prognosis and diagnosis of breast cancer development. The Nottingham Histological Grading (NHG) system is widely used in the breast cancer grading. In NHG system, the mitotic count based on histopathological images (i.e. microscopic slide examination) is one of the three criteria that define the overall grade. Image processing techniques such as segmentation could be utilised to detect mitotic cells. This study proposed a new approach to segment hyperchromatic nucleus on the histopathological images based on RGB and HSI colour spaces. The results show that the proposed segmentation technique could provide a promising result in segmenting hyperchromatic nucleus and preserving the ground truth (i.e. true mitotic cells).

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Published

2018-05-30

How to Cite

Jian, T. X., Mustafa, N., Mashor, M. Y., & Ab Rahman, K. S. (2018). Hyperchromatic Nucleus Segmentation on Breast Histopathological Images for Mitosis Detection. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-16), 27–30. Retrieved from https://jtec.utem.edu.my/jtec/article/view/4070

Issue

Vol. 10 No. 1-16: Recent Trends in Biomedical Engineering Systems and Technologies I

Section

Articles

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