no code implementations • 11 Jun 2022 • Ramya Muthukrishnan, Angelina Heyler, Keshava Katti, Sarthak Pati, Walter Mankowski, Aprupa Alahari, Michael Sanborn, Emily F. Conant, Christopher Scott, Stacey Winham, Celine Vachon, Pratik Chaudhari, Despina Kontos, Spyridon Bakas
Two U-Nets were separately trained on algorithm-generated labels to perform segmentation of the breast and dense tissue from these images and subsequently calculate breast percent density (PD).
1 code implementation • 13 Nov 2020 • Omid Haji Maghsoudi, Aimilia Gastounioti, Christopher Scott, Lauren Pantalone, Fang-Fang Wu, Eric A. Cohen, Stacey Winham, Emily F. Conant, Celine Vachon, Despina Kontos
Our method has been trained and validated on a multi-ethnic, multi-institutional dataset of 15, 661 images (4, 437 women), and then tested on an independent dataset of 6, 368 digital mammograms (1, 702 women; cases=414) for both PD estimation and discrimination of breast cancer.