An Optimized Cascaded CNN Approach for Feature Extraction From Brain MRIs for Tumor Classification
This study enhances brain tumor classification by leveraging pre-trained models and attention mechanisms, ultimately improving accuracy and reliability in medical imaging diagnostics through feature extraction. A generative adversarial network (GAN) is employed for artifact removal, and images are r...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10891791/ |
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