This study concentrates on machine learning. specifically deep learning techniques. to automatically detect the presence of aspiration or penetration in videofluoroscopic swallowing studies (VFSS). A comparative analysis is conducted on various deep learning architectures such as 2D Convolutional Neural Networks (2D-CNN). https://parisnaturalfoodes.shop/product-category/combo-smoothie-straws-bent/
COMBO SMOOTHIE STRAWS BENT
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