The goal of The Human Body Project is to understand how the human anatomy relates to disease and future health outcomes. To accomplish this, we are developing and applying deep learning-based segmentation algorithms to divide the body portrayed in the cross-sectional images into different tissues and organs. All our algorithms are publicly available. We are working with our colleagues to establish the link between body characteristics extracted based on the segmentation and patient health indicators, such as surgery outcomes or the risk of future disease.

Below are some of the publicly available algorithms developed by our team: