Scalable and Efficient Multi-Class Brain Tumor Classification with a Compact Hybrid Deep Learning Model for Real-Time Applications
Medical diagnostics require brain tumor classification to operate in real-time so the task demands accurate results with efficient processing abilities. A new hybrid deep learning solution merges convolutional neural networks (CNNs) with support vector machines (SVMs) to improve classification resu...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Koya University
2025-05-01
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| Series: | ARO-The Scientific Journal of Koya University |
| Subjects: | |
| Online Access: | https://aro.koyauniversity.org/index.php/aro/article/view/2017 |
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