Topic: Computational Pathology encompasses algorithms and methods that answer​ scientific and clinical questions in pathology. In the few last years,​ traditional analyses are challenged with deep learning methods that​ allow for more standardised, robust and powerful applications. In this​ seminar, we will study recent research papers that develop or apply​ deep learning methods in a pathology context. Whenever possible, we​ will re-implement the applied methods, analyse the used technologies​ and discuss the biomedical and clinical implications. After succesful completion of the module, the students will be able​ to read and evaluate scientific literature on computational pathology,​ and they have learned how to extract computational content and​ re-implement parts of the analysis. Finally, the course will​ strengthen the presentation and discussion skills of the participants.