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

• Main Authors: Cabatuan, Melvin K., Dadios, Elmer Jose P., Naguib, Raouf N. G.
• Format: text
• Published: Animo Repository 2012
• Subjects: Breast—Cancer; Breast—Examination; Computer vision; Electrical and Computer Engineering; Electrical and Electronics; Systems and Communications
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1734; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2733/type/native/viewcontent
• Institution: De La Salle University

Breast cancer is the leading cause of cancer mortality among women and early diagnosis with proper treatment is the key to survival. Women who practice regular breast self-examination are the ones most likely to detect early abnormalities in their breast. However, studies have shown that most women...