Segmentation Based Classification for Mitotic Cells Detection on Breast Histopathological Images
Keywords:Breast Cancer, Classification, Mitotic Cell Candidate, Segmentation,
AbstractBreast 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. One of the main criteria in assessing breast cancer is mitotic counts as it reflects the speed of cell division in cancer cells. Detection of mitotic candidates could be performed by implementing image processing techniques. The accuracy of mitotic cells detection is dependent on the number of mitotic candidates. Thus, minimizing the number of mitotic candidates is a crucial step in optimizing accuracy. This study proposed a segmentation based classification method to minimize number of false positive in mitotic candidates. The results show that the proposed segmentation based classification method could provide a promising result by achieving an average effectiveness of 91.85% in minimizing the mitotic candidate number.
How to Cite
TRANSFER OF COPYRIGHT AGREEMENT
The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):
- All proprietary right other than copyright, such as patent rights
- The right to make further copies of all or part of the published article for my use in classroom teaching
- The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
- The right to make copies of the published work for internal distribution within the institution that employs me
I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.