Children's dental panoramic radiographs dataset for caries segmentation and dental disease detection.

ABSTRACT: When dentists see pediatric patients with more complex tooth development than adults during tooth replacement, they need to manually determine the patient's disease with the help of preoperative dental panoramic radiographs. To the best of our knowledge, there is no international public dataset for children's teeth and only a few datasets for adults' teeth, which limits the development of deep learning algorithms for segmenting teeth and automatically analyzing diseases. Therefore, we collected dental panoramic radiographs and cases from 106 pediatric patients aged 2 to 13 years old, and with the help of the efficient and intelligent interactive segmentation annotation software EISeg (Efficient Interactive Segmentation) and the image annotation software LabelMe. We propose the world's firs

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC10267170 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature