Computer vision-based breast self-examination stroke position and palpation pressure level classification using artificial neural networks and wavelet transforms

• Main Authors: Cabatuan, Melvin K., Dadios, Elmer Jose P., Naguib, Raouf N. G., Oikonomou, Andreas
• Format: text
• Published: Animo Repository 2012
• Subjects: Breast—Examination; Self-examination, Medical; Computer vision in medicine; Electrical and Computer Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/563
• Institution: De La Salle University

This paper focuses on breast self-examination (BSE) stroke position and palpation level classification for the development of a computer vision-based BSE training and guidance system. In this study, image frames are extracted from a BSE video and processed considering the color information, shape, a...