Huvudbild för Vitalis 2023
Profilbild för Blood Vessel Segmentation using U-Net for Glaucoma Diagnosis with Limited Data

Blood Vessel Segmentation using U-Net for Glaucoma Diagnosis with Limited Data Har passerat

Tisdag 23 maj 2023 14:15 - 14:30 G2

Föreläsare: Lukas Schießer

Spår: MIE: Decision support

Språk

English

Seminarietyp

Enbart på plats

Kunskapsnivå

Avancerad

Konferens

MIE

Författare

Lukas Schießer, Jens Julian Storp, Kemal Yildirim, Julian Varghese, Nicole Eter

Föreläsare

Profilbild för Lukas Schießer

Lukas Schießer Föreläsare

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.