Article
Hierarchical Attention Medical Transformer for Enhanced Breast Cancer Classification from MRI
2025-11-07
Abstract excerpt
Breast cancer diagnosis from MRI is challenging, hampered by complex image interpretation and scarce annotated medical datasets, which limits deep learning efficacy. To address these challenges, we propose the Hierarchical Attention Medical Transformer (HAMT), a novel Vision Transformer for enhanced breast cancer MRI classification, especially in data-limited scenarios. HAMT integrates a medical domain-specific se...
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Identifiers and source
- Literature Corpus work
- a03048b0-1322-5b3b-8bba-bd9227064db4
- DOI
- 10.20944/preprints202511.0451.v1
