ShQDFHNet: Shepard quantum dilated forward harmonic net for brain tumour detection using MRI image
The use of high boost filtering, Log-Cosh PPANet, and texture-based features improves the input data quality and enables accurate tumor segmentation in MRI scans. The proposed ShQDFHNet model improves feature learning and achieves strong performance on brain tumor MRI data.
Authors
- T. Rajesh Kumar
- G. Manoj Kumar
Institutions
- Saveetha University (IN)
Publication Details
- Journal
- Archives of Physiology and Biochemistry
- Published
- 2025-08-17
- DOI
- https://doi.org/10.1080/13813455.2025.2541700
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00