Real-Time Evaluation of Breast Self-Examination Using Computer Vision

Mohammadi, E and Dadios, EP and Gan Lim, LA and Cabatuan, MK and Naguib, RNG and Avila, JMC and Oikonomou, A (2014) Real-Time Evaluation of Breast Self-Examination Using Computer Vision. International Journal of Biomedical Imaging, 2014 (924759). pp. 1-12. ISSN 1687-4188

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Breast cancer is the most common cancer among women worldwide and breast self-examination (BSE) is considered as the most
cost-effective approach for early breast cancer detection. The general objective of this paper is to design and develop a computer
vision algorithm to evaluate the BSE performance in real-time. The first stage of the algorithm presents a method for detecting and
tracking the nipples in frames while a woman performs BSE; the second stage presents amethod for localizing the breast region and
blocks of pixels related to palpation of the breast, and the third stage focuses on detecting the palpated blocks in the breast region.
The palpated blocks are highlighted at the time of BSE performance. In a correct BSE performance, all blocks must be palpated,
checked, and highlighted, respectively. If any abnormality, such as masses, is detected, then this must be reported to a doctor to
confirm the presence of this abnormality and proceed to perform other confirmatory tests. The experimental results have shown
that the BSE evaluation algorithm presented in this paper provides robust performance.

Item Type: Article
Additional Information and Comments: Copyright © 2014 Eman Mohammadi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Faculty / Department: Faculty of Science > Mathematics and Computer Science
Depositing User: Raouf Naguib
Date Deposited: 02 Jun 2016 10:46
Last Modified: 12 Jan 2018 02:01

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