Dealing with the wave: Automating skin cancer assessment

Abstract
Faced with severe healthcare shortages and a basal cell carcinoma (BCC) incidence surpassing 40% of all cancer diagnoses in the Netherlands—an incidence expected to increase by an additional 39% by 2032—this end-of-PhD talk is dedicated to the research conducted to automate BCC detection. The goal is to automate this diagnostic processes and avoid further strain on healthcare systems.

Meeting details:
Currently, the DDH is held online via Teams. The Teams link will be available when you RSVP to this event.
14:30 - 15:15 (CET):
Daan Geijs
Dealing with the wave: Automating skin cancer assessment

About the speaker
Daan Geijs studied Biomedical Engineering at the University of Twente and specialized in Image and Diagnostics. Subsequently, he finished his master thesis segmenting tumor by applying deep learning on fluorescent multiplex breast cancer images in 2019. In the same period, he finished the master study Science Education and Communication in Physics and worked as a secondary school Physics teacher. In March 2020 he started as PhD candidate in the Computational Pathology Group and Diagnostic Image Analysis Group where he works under the supervision of Geert Litjens and Avital Amir automating skin cancer diagnostics. Next to his research Daan played a crucial role in building a platform which allowed large scale extraction of medical data for both pathology and radiology and integrating AI algorithms in the clinical workflow.