%0 Thesis
%A Straßburger, Svea
%T Investigating the effectivity of deep learning, specifically nnU-Net, in enhancing in vivo Fluorescence Molecular Tomography through semantic segmentation as an alternative to resolving the ill-posed inverse problem
%I Universität Heidelberg
%V Bachelorarbeit
%M DKFZ-2024-01186
%D 2024
%Z Bachelorarbeit, Universität Heidelberg, 2024
%F PUB:(DE-HGF)2
%9 Bachelor Thesis
%U https://inrepo02.dkfz.de/record/290589