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

• Main Authors: Mohammadi, Eman, Dadios, Elmer Jose P., Gan Lim, Laurence A., Cabatuan, Melvin K., Naguib, Raouf N. G., Avila, Jose Maria C., Oikonomou, Andreas
• Format: text
• Published: Animo Repository 2014
• Subjects: Computer vision in medicine; Breast—Examination; Self-examination, Medical; Breast—Cancer; Manufacturing
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3671; https://animorepository.dlsu.edu.ph/context/faculty_research/article/4673/type/native/viewcontent/924759.html
• Institution: De La Salle University

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 performanc...