Reading and Discussion Course 2020/2021 'Computational Pathology: Algorithms and Applications'

Lecturer: Tingying Peng
Tel.: +49 89 3187-4217
E-mail: 
Room:

Virtual

Date & Time:     

Tuesdays, 4.15 pm - 5.45 pm

Target Group: Mathematicians, biologists, (bio-)statisticians, biotechnologists, bioinformaticians or equivalent with an interest in computational biology    
ECTS:3
Number of participants:~20
Language:      English
Registration:via email to 
Material: Click here for an review on computational biology by Fuchs & Buhmann

 

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.