Faculty Research

Better breast cancer diagnosis through machine-learning ultrasound

Published
April 21, 2023
parker and o'connell looking at camera
INTERDISCIPLINARY PARTNERSHIP: Kevin Parker (left), a professor of electrical and computer engineering, and Avice O’Connell, a professor of imaging sciences, are working to improve breast cancer diagnostics.

Mammography is the gold standard for breast cancer diagnosis, but it’s not reliably accurate in all cases, especially in people with dense breasts. Avice O’Connell, a professor of imaging sciences, Kevin Parker, a professor of electrical and computer engineering, and Jihye Baek, a PhD student in electrical and computer engineering, have launched a research project incorporating ultrasound with machine learning for previously detected masses. The end result: nearly 98 percent accuracy in predicting breast cancer in these masses.

@Rochester 4.21.23