Detecting and tracking female breasts using neural network in real-time

• Main Authors: Eman, Mohammadi N., Cabatuan, Melvin K., Dadios, Elmer P., Gan Lim, Laurence A.
• Format: text
• Published: Animo Repository 2013
• Subjects: Breast—Examination; Self-examination, Medical; Breast—Cancer; Neural networks (Computer science); Biomedical; Electrical and Computer Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2381; https://animorepository.dlsu.edu.ph/context/faculty_research/article/3380/type/native/viewcontent
• Institution: De La Salle University

The general aim of this research is helping women to perform breast self-examination (BSE) for finding out any abnormality, change, or lump in the breasts. BSE involves checking the breasts for finding abnormalities, lumps, or changes. This paper reports about our initial efforts to detect and track...