Block-Wise Neural Network for Brain Tumor Identification in Magnetic Resonance Images
Motivation: medical support for treating tumor patients Goal(s): critical necessity for more accurate computeraided methods for early tumor detectionApproach: proposing a finetuned Block-Wise Visual Geometry Group19 (BW-VGG19) architectureResults: We achieved an accuracy of 0.98%Impact: the best results associated with the existing methods
Authors
- Fawaz F. Alqahtani (ORCID: https://orcid.org/0000-0003-1494-0303)
- Abdullah A. Asiri (ORCID: https://orcid.org/0000-0002-1839-3821)
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/5179
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00