Designing and Implementing an Interactive Cloud Platform for Teaching Machine Learning with Medical Data
Abstract
Machine learning (ML), especially deep learning (DL), is a field of research that has recently attracted enormous attention and is currently evolving rapidly. New applications in economics, industry, and healthcare create new challenges for the sustainable development of our society. We describe the organization and realization of a machine learning seminar that integrates a theoretical seminar and a practical tutorial focusing on the employments of DL in liver cancer diagnostics. The seminar has been designed for master students in mathematics and computer science with the aim to prepare them for potential master theses and future work assignments in the area of ML in healthcare.
Type
Publication
Artificial Intelligence for Security: Enhancing Protection in a Changing World
Frederic Jonske
PhD Student
Amin Dada
PhD Student
Enrico Nasca
Research Engineer
Jana Fragemann
PhD Student
Jan Egger
Team Lead AI-guided Therapies
Moon Kim
Team Lead Medical Informatics
Jens Kleesiek
Professor of Translational Image-guided Oncology
