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A hierarchical fusion framework integrating random projection-based classifiers: application in head and neck squamous carcinoma cancer
Ensemble methods achieves better performance than single classifier model.
End-to-End Breast Mass Classification on Digital Breast Tomosynthesis
Automatic classification of the masses in digital breast tomosynthesis(DBT) is still a big challenge and play a crucial role to assist radiologists for accurate diagnosis. In this paper, we develop a End-to-End multi-scale multi-level features fusion Network (EMMFFN) model for breast mass classication using DBT.
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