Improving medical image classification based on Boosted Beluga Whale Optimizer with Triangular Mutation and Cross Vision transformer models
In this study, we introduce a framework for medical image classification that combines deep learning models with modified Beluga Whale Optimization as a feature selection technique. Our approach utilizes a feature extraction technique called CrossViT, a vision transformer model architecture design o...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2025-09-01
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| coleção: | Egyptian Informatics Journal |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S1110866525001331 |
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