Real-time evaluation of breast self-examination using computer vision

College

Gokongwei College of Engineering

Department/Unit

Manufacturing Engineering and Management

Document Type

Article

Source Title

International Journal of Biomedical Imaging

Volume

2014

Publication Date

1-1-2014

Abstract

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 a method 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. © 2014 Eman Mohammadi et al.

html

Digitial Object Identifier (DOI)

10.1155/2014/924759

Disciplines

Manufacturing

Keywords

Computer vision in medicine; Breast—Examination; Self-examination, Medical; Breast—Cancer

Upload File

wf_yes

This document is currently not available here.

Share

COinS