Early Detection of Liver Fibrosis Using Deep Learning

Université Iba Der Thiam de Thiès


To tackle the late diagnosis of liver fibrosis due to Hepatitis B, this project leverages deep learning to create a cost-effective, non-invasive diagnostic tool. Designed to function in low-income settings, the AI model will enhance early detection capabilities, aiming to improve access to timely diagnostics for affected populations across West Africa.