23°N - Tropic of Cancer, accessible breast diagnostics for global health

Breast cancer is the most common cancer type globally. The survival in low- and middle income countries is poor. An important contributing factor is limited access to breast imaging for a timely diagnosis. In this project, the aim is to develop AI-based decision support for point-of-care-ultrasound that could provide cost effective and accessible breast diagnostics in low-resource settings.