University of Twente Student Theses
An explainable machine learning model to diagnose giant cell arteritis based on texture features in aortic 18FFDG-PET images
Vries, H.S. (2023) An explainable machine learning model to diagnose giant cell arteritis based on texture features in aortic 18FFDG-PET images.
Full text not available from this repository.
| Full Text Status: | Access to this publication is restricted |
| Embargo date: | 5 May 2026 |
| Item Type: | Essay (Master) |
| Faculty: | TNW: Science and Technology |
| Subject: | 44 medicine |
| Programme: | Biomedical Engineering MSc (66226) |
| Link to this item: | https://purl.utwente.nl/essays/94958 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Show download statistics for this publication
Show download statistics for this publicationRepository Staff Only: item control page