Breast Cancer Triage CAD for Low Resource Countries using Low-Cost Ultrasound and Minimally-Trained Operators

Susan Love1, Wendie Berg2, Christine Podilchuk3, Ana Lilia Lopez Aldrete4, Aarón Gaxiola Mascareño4, Ajit Jairaj3, Lev Barinov3, Bill Hulbert3, Richard Mammone5

  • 1Dr. Susan Love Research Foundation
  • 2University of Pittsburgh School of Medicine, Magee-Women's Hospital
  • 3Clearview Diagnostics Inc.
  • 4Hospital Valentín Gómez Farías
  • 5Rutgers University



Contributed 4-Page Papers (Oral)


15:45 - 17:15 | Thu 10 Nov | Mexico-Cozumel | ThBT4

POCT Monitoring and Diagnosis


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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