Pierre Ambrosini started on September 1st. He will work on "Image analytics in the field of prostate histology". His supervisor is Sjoerd Stallinga.

The goal of the project is to develop new methods for image analysis of scanned and digitized tissue sections. The resulting quantitative information is then later delivered to clinicians for incorporation into decision making models. Specifically, the goal is to apply both classical machine learning approaches and novel deep learning methods to detect and quantify so-called cribriform and intraductal carcinoma in the scanned prostate needle biopsies.