Abstract: ResNet effectively addresses the vanishing gradient problem in deep networks by introducing skip connections, making it a leading model in image classification tasks. This paper proposes an ...
Researchers at the University of California, Los Angeles (UCLA), in collaboration with UC Berkeley, have developed a new type ...
Abstract: Deep learning has significantly advanced the analysis of Video Fluoroscopic Swallowing Study data, an essential diagnostic tool for dysphagia assessment. This review explores recent ...
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