Susan Love1, Wendie Berg2, Christine Podilchuk3, Ana Lilia Lopez Aldrete4, Aarón Gaxiola Mascareño4, Ajit Jairaj3, Lev Barinov3, Bill Hulbert3, Richard Mammone5
Contributed 4-Page Papers (Oral)
15:45 - 17:15 | Thu 10 Nov | Mexico-Cozumel | ThBT4
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.
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