This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) project grant, titled "COLLABORATIVE RESEARCH: CISE MSI: RCBP: SCH: ADVANCING BREAST-CANCER DETECTION IN ULTRASOUND IMAGING THROUGH ACTIVE- AND WEAKLY-SUPERVISED LEARNING", aims to develop breast cancer detection methods using deep learning that can function effectively with minimal annotations and within the noise inherent to breast ultrasound imaging. The $203,981 award to Kean University, a minority-serving and Hispanic-serving institution, will fund the development of a weakly-supervised breast cancer detection approach using active and weakly-supervised learning to assist doctors in diagnosing breast cancer from ultrasound images. This project seeks to enhance women's health by improving early breast cancer detection, with a focus on benefiting underrepresented groups. The award period runs from September 1, 2024 to August 31, 2026.
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