Breast cancer triage CAD for low resource countries using low-cost ultrasound and minimally-trained operators
Susan M. Love, Wendie A. Berg, Christine I. Podilchuk, Ana Lilia López Aldrete, A. Gaxiola Mascareno, Ajit Jairaj, Lev Barinov, W. Hulbert, Richard J. Mammone · 2016
We propose an automated breast cancer triage CAD system using machine vision on low-cost, portable ultrasound imaging devices. We demonstrate that the triage CAD software can effectively analyze images captured by minimally-trained operators and output one of three assessments - benign, probably benign (6-month follow-up recommended) and suspicious (biopsy recommended). This system opens up the possibility of offering practical, cost-effective breast cancer diagnosis for symptomatic women in economically developing countries.