The Shining3D dataset consists of 1866, 272, and 272 videos for the training, validation, and testing sets, respectively. The image size is 640 × 480 pixels. The Shining3D dataset consists of 186
INTRODUCTION: Lateral cephalometric radiographs are traditionally required for orthodontic treatment, yet rarely used to assess asymmetries. OBJECTIVE: The objective of the present study was to use l
Abstract : The study aims to evaluate the effectiveness of Federated Convolutional Neural Network (CNN) models for orthodontic skeletal classification using cephalometric images obtai
This dataset, named "DenPAR: Annotated Intra-Oral Periapical Radiographs Dataset," comprises a collection of intraoral periapical (IOPA) radiographs specifically curated for the detection of alveolar