Tumor ViT-GRU-XAI: Advanced Brain Tumor Diagnosis Framework: Vision Transformer and GRU Integration for Improved MRI Analysis: A Case Study of Egypt
Brain tumors, marked by unchecked cell proliferation within the central nervous system, present substantial challenges for accurate diagnosis and effective treatment. Early and precise detection is crucial for successful intervention. This study presents an innovative framework aimed at enhancing th...
Saved in:
| Main Authors: | Mohammed Aly, Abdullatif Ghallab, Islam S. Fathi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10781413/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Unlocking the Potential of XAI for Improved Alzheimer’s Disease Detection and Classification Using a ViT-GRU Model
by: S. M. Mahim, et al.
Published: (2024-01-01) -
Exploring Pre-Trained Models for Skin Cancer Classification
by: Abdelkader Alrabai, et al.
Published: (2025-03-01) -
A New Pes Planus Automatic Diagnosis Method: ViT-OELM Hybrid Modeling
by: Derya Avcı
Published: (2025-03-01) -
Apvit: ViT with adaptive patches for scene text recognition
by: Ning Zhang, et al.
Published: (2025-03-01) -
ViT-RoT: Vision Transformer-Based Robust Framework for Tomato Leaf Disease Recognition
by: Sathiyamohan Nishankar, et al.
Published: (2025-06-01)