Real-Time Evaluation of Breast Self-Examination Using Computer Vision
Joint Authors
Dadios, Elmer P.
Mohammadi, Eman
Gan Lim, Laurence A.
Cabatuan, Melvin K.
Naguib, Raouf N. G.
Avila, Jose Maria C.
Oikonomou, Andreas
Source
International Journal of Biomedical Imaging
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-11
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Mohammadi, Eman& Dadios, Elmer P.& Gan Lim, Laurence A.& Cabatuan, Melvin K.& Naguib, Raouf N. G.& Avila, Jose Maria C.…[et al.]. 2014. Real-Time Evaluation of Breast Self-Examination Using Computer Vision. International Journal of Biomedical Imaging،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1036323
Modern Language Association (MLA)
Mohammadi, Eman…[et al.]. Real-Time Evaluation of Breast Self-Examination Using Computer Vision. International Journal of Biomedical Imaging No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1036323
American Medical Association (AMA)
Mohammadi, Eman& Dadios, Elmer P.& Gan Lim, Laurence A.& Cabatuan, Melvin K.& Naguib, Raouf N. G.& Avila, Jose Maria C.…[et al.]. Real-Time Evaluation of Breast Self-Examination Using Computer Vision. International Journal of Biomedical Imaging. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1036323
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1036323