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://www.bekindtopets.com/limited-price-Sensationnel-Cloud-9-What-Lace-Glueless-Swiss-13x6-HD-Lace-Front-Wig-KIYARI-hot-buy/