Stroke position classification in breast self-examination using parallel neural network and wavelet transform

• Main Authors: Jose, John Anthony C., Cabatuan, Melvin K., Dadios, Elmer P., Gan Lim, Laurence A.
• Format: text
• Published: Animo Repository 2015
• Subjects: Breast—Examination; Self-examination, Medical; Computer vision in medicine; Neural networks (Computer science); Biomedical; Electrical and Computer Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2386; https://animorepository.dlsu.edu.ph/context/faculty_research/article/3385/type/native/viewcontent
• Institution: De La Salle University

This study focuses on improving the stroke position classification for the implementation of vision-based breast self-examination guidance system. Previous works have not tackled different variation of breast forms and size and other environment factors. We propose the use of multiple neural network...