Predicting Overall Survival of Glioblastoma Patients Using Deep Learning Classification Based on MRIs
Automated analysis of MRI scans using deep learning-based image classification has the potential to enable accurate OS prediction in glioblastomas.
Authors
- Frank Krämer (ORCID: https://orcid.org/0000-0002-2857-7122)
- Santiago Cepeda (ORCID: https://orcid.org/0000-0003-1667-8548)
- Dennis Hartmann (ORCID: https://orcid.org/0000-0002-8751-2505)
- Dominik Müller (ORCID: https://orcid.org/0000-0003-0838-9885)
- Katharina Ott
Institutions
- University of Augsburg (DE)
- University Hospital Augsburg (DE)
- Hospital Universitario Río Hortega (ES)
Publication Details
- Journal
- Studies in health technology and informatics
- Published
- 2024-08-30
- DOI
- https://doi.org/10.3233/shti240878
- Citations
- 5
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 5.19