Teeth Segmentation in Panoramic Dental X-ray Using Mask Regional Convolutional Neural Network

Teeth Segmentation in Panoramic Dental X-ray Using Mask Regional Convolutional Neural Network

Background and purpose: Accurate instance segmentation of teeth in panoramic dental X-rays is a challenging task due to variations in tooth morphology and overlapping regions. In this study, we propose a new algorithm, for instance, segmentation of the different teeth in panoramic dental X-rays. Met...

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Bibliographic Details
Main Authors: Giulia Rubiu, Marco Bologna, Michaela Cellina, Maurizio Cè, Davide Sala, Roberto Pagani, Elisa Mattavelli, Deborah Fazzini, Simona Ibba, Sergio Papa, Marco Alì
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Applied Sciences
Subjects:
teeth segmentation
automatic segmentation
convolutional neural networks
CNN
orthopantomography
Online Access:https://www.mdpi.com/2076-3417/13/13/7947

Internet

https://www.mdpi.com/2076-3417/13/13/7947

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