Machine learning (ML) has the potential to revolutionize healthcare, but also faces unique challenges in this area. In this seminar, we will focus on applications of ML in computational pathology. Pathology is a branch of medicine that studies and diagnoses diseases like cancer, mostly through the analysis of human tissue. Research has shown that ML can solve remarkably complex tasks in this field, e.g., detecting diseases, predicting clinical biomarkers, and forecasting patient outcomes directly from microscopic tissue images. Candidates will read, present, and discuss some of the most recent and relevant papers on ML in computational pathology.
- Trainer/in: Jonas Dippel
- Trainer/in: Julius Eberhard Hense
- Trainer/in: Weronika Oktavia Klos