Detection of Extracranial and Intracranial Calcified Carotid Artery Atheromas in Cone Beam Computed Tomography Utilizing a Deep Learning Convolutional Neural Network Image Segmentation Approach

This study aimed to leverage an artificial intelligence deep learning convolutional neural network (DL CNN) image segmentation approach to detect calcified carotid artery atheromas (CCAAs) on cone beam computed tomography (CBCT) images.

Source: Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontics - August 16, 2023 Category: ENT & OMF Authors: Shahd A. Alajaji, Rula Amarin, Radi Masri, Tiffany Tavares, Vandana Kumar, Jeffery B Price, Ahmed S. Sultan Tags: Original Article Source Type: research