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Bachelor Thesis DKFZ-2024-01186
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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



2024

Bachelorarbeit, Universität Heidelberg, 2024  GO


Note: Bachelorarbeit, Universität Heidelberg, 2024
Contributing Institute(s):
  1. E020 Med. Physik in der Radiologie (E020)
Research Program(s):
  1. 315 - Bildgebung und Radioonkologie (POF4-315) (POF4-315)

Appears in the scientific report 2024
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The record appears in these collections:
Document types > Theses > Bachelor Theses
Institute Collections > E020
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Publications database
 Record created 2024-06-03, last modified 2024-06-03
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