Implementation of innovative image analysis tools in the radiological workflow
Dnr:
NAISS 2024/23-67
Type:
NAISS Small Storage
Principal Investigator:
Rolf A Heckemann
Affiliation:
Göteborgs universitet
Start Date:
2024-02-02
End Date:
2025-01-01
Primary Classification:
20603: Medical Image Processing
Webpage:
Allocation
- Cephyr NOBACKUP at C3SE: 500 GiB
Abstract
We plan to continue to identify and test deep-learning models for quantitative medical image analysis, in particular anatomical segmentation (for example FastSurfer, Henschel et al. 2020) and brain lesion segmentation (for example DeepMedic, Kamnitsas et al. (2017)). Alvis will be used for image preprocessing, training, validating, and finding optimal model parameters, bringing the models closer to clinical application.