Thomas de Bel


Thomas de Bel studies Data Science at the Radboud University of Nijmegen. He is a visting student in the digital pathology group, to do his research internship and master's thesis. Here he works on applying deep learning systems to analyse and segment stuctures of HE-stained renal tissue. The goal will be to work towards clinically relevant applications of renal tissue segmentation, using deep learning techniques. He is supervised by Meyke Hermsen and Geert Litjens. At the Radboud university, he is supervised by Elena Marchiori.