C. R. de Araújo Estrela

Deep Learning-Based Detection of Simulated Root Resorption in Scenarios Involving Image-Degrading Artifacts: An in Vitro Study.

BACKGROUND/AIM This study developed a deep learning-based convolutional neural network (CNN) model for detecting external root resorption (ERR) in periapical radiographs and cone-beam computed tomography (CBCT) scans, particularly in the presence of image-degrading artifacts. MATERIAL AND METHODS A total of 480 bovin...