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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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Literature Corpus work
a03048b0-1322-5b3b-8bba-bd9227064db4
DOI
10.20944/preprints202511.0451.v1
Open publication

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Hierarchical Attention Medical Transformer for Enhanced Breast Cancer Classification from MRIDOI 10.20944/preprints202511.0451.v1
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