An Efficient Neuro-framework for Brain Tumor Classification Usinga CNN-based Self-supervised Learning Approach with GeneticOptimizations
The proposed framework offers an accurate and scalable solution for glioma classification from MRI images. It supports faster, more reliable clinical decision-making and holds promise for real-world diagnostic applications.
Authors
- Pappula Praveen
- Pundru Chandra Shaker Reddy (ORCID: https://orcid.org/0000-0002-3643-0753)
- Paripelli Ravali
Institutions
- Amity University (IN)
- Amity University (AE)
Publication Details
- Journal
- Current Neuropharmacology
- Published
- 2025-09-18
- DOI
- https://doi.org/10.2174/011570159x378103250806214613
- Citations
- 7
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 5.90