Blood Vessel Segmentation using U-Net for Glaucoma Diagnosis with Limited Data Passed
Tuesday May 23, 2023 14:15 - 14:30 G2
Lecturer: Lukas Schießer
Track: MIE: Decision support
Language
English
Seminar type
On site only
Level of knowledge
Advanced
Conference
MIE
Authors
Lukas Schießer, Jens Julian Storp, Kemal Yildirim, Julian Varghese, Nicole Eter
Lecturers
Lukas Schießer Lecturer
Researcher
University of Osnabrück
Lukas is a recent graduate of Cognitive Science, having concluded his Master's degree with a focus on Artificial Intelligence and Deep Learning. His Master's thesis compared various deep learning models using different inputs such as fundus image, segmentations, and ophthalmic metrics along with their combinations. Since May, he is working as a Researcher at Deutsches Forschungsinsitut für künstliche Intelligenz (DFKI) in the Green AI Hub project. The project aims to promote resource efficiency for small businesses using Artificial Intelligence. With a strong background in cognitive science and AI, Lukas is dedicated to exploring the potential of AI in various domains while ensuring its sustainable use.