A Distillation Approach to Transformer-Based Medical Image Classification with Limited Data
<b>Background/Objectives</b>: Although transformer-based deep learning architectures are preferred in many hybrid architectures due to their flexibility, they generally perform poorly on image classification tasks with small datasets. An important improvement in performance when transformer architec...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2025-04-01
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| coleção: | Diagnostics |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2075-4418/15/7/929 |
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