Review of Nuclei Detection, Segmentation in Microscopic ImagesRujuta O* and Vyavahare AJ
Department of Electronics and Communication, Modern College of Engineering, Pune, Maharashtra, India
- *Corresponding Author:
- Rujuta O
Department of Electronics & Communication
Student M.E. E &TC
Modern College of Engineering
Pune, Maharashtra, India
Tel: 020 2569 6064
E-mail: [email protected]
Received Date: May 2, 2017; Accepted Date: May 15, 2017; Published Date: May 20, 2017
Citation: Rujuta O, Vyavahare AJ (2017) Review of Nuclei Detection, Segmentation in Microscopic Images. J Bioengineer & Biomedical Sci 7: 227. doi:10.4172/2155-9538.1000227
Copyright: © 2017 Rujuta O, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Histological tissue section provides rich information about cellular structure. There are considerable amount of variations in cell structure, and cell organization that impede analysis of large histological dataset. This paper is a review of some recent state-of-art nucleus/cell segmentation approaches on different types of microscopic images. In the conventional diagnosis, pathologist analyze biopsies to make diagnostic assessment. Recently some automatic methods have been evolving in digital histopathology with growing application related to nuclear detection and segmentation. We and discussed and studied here various trends on nucleus detection, and segmentation.