Performance of deep learning technology for evaluation of positioning quality in periapical radiography of the maxillary canine.

Mizuho MoriYoshiko ArijiMotoki FukudaTomoya KitanoTakuma FunakoshiWataru NishiyamaKiyomi KohinataYukihiro IidaEiichiro ArijiAkitoshi Katsumata

Published in: Oral radiology (2021)

The deep learning systems we created appeared to have potential benefits in evaluation of the technical positioning quality of periapical radiographs through the use of segmentation and classification functions.

Keyphrases

deep learning
cone beam computed tomography
convolutional neural network
artificial intelligence
machine learning
quality improvement
computed tomography
image quality