Course description:

The summer school is focused on the advanced methods of biomedical image analysis with emphasis on bio- (microscopy) image analysis. The main goal is to make the students familiar with the advanced state-of-the-art techniques of mathematical morphology, image segmentation, object detection and tracking, synthetic image generation, benchmarking, etc. The focus will be on the methodology suitable for multiple applications. Special attention will be paid to the combination of machine learning and classical approaches.

Target groups are Master and Ph.D. students of computer science, mathematics or engineering backgrounds specialized in signal and image processing. Students are supposed to know the basics of signal and image processing, machine learning and have some programming experience in this field. The main activities of the course will be theoretical lectures supplemented by practical examples run on students’ computers.

More information: