Better Breast Cancer Diagnosis through Machine-Learning Ultrasound

A research project launched by Professor Parker, former PhD student Jihye Baek, and Dr. Avice O'Connell (Imaging Sciences) was highlighted in the UR News Center. The research applied ultrasound with machine learning to previously detected breast masses. The end result: nearly 98 percent accuracy in predicting breast cancer in these masses. The journal article in Machine Learning: Science and Technology, published in November 2022 reached 500 downloads by February. Read more about this exciting research here.