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Article
Open AccessAn interpretable risk prediction model for healthcare with pattern attention
The availability of massive amount of data enables the possibility of clinical predictive tasks. Deep learning methods have achieved promising performance on the tasks. However, most existing methods suffer fr...
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Chapter and Conference Paper
Classifying Breast Cancer Histopathological Images Using a Robust Artificial Neural Network Architecture
Pathological diagnosis is the standard for the diagnosis and identification of breast malignancies. Computer-aided diagnosis (CAD) is widely applied in pathological image analysis to help pathologists improvin...
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Chapter and Conference Paper
Spatial Attention Lesion Detection on Automated Breast Ultrasound
Automated Breast Ultrasound (ABUS) is widely applied in breast screening mainly because of its non-invasive, and radiation-free nature, and the high interoperator reproducibility. Due to the complexity and hig...