Segmentation of Dental Restorations on Panoramic Radiographs Using Deep Learning

Segmentation of Dental Restorations on Panoramic Radiographs Using Deep Learning

Convolutional Neural Networks (CNNs) such as U-Net have been widely used for medical image segmentation. Dental restorations are prominent features of dental radiographs. Applying U-Net on the panoramic image is challenging, as the shape, size and frequency of different restoration types vary. We hy...

Full description

Bibliographic Details
Main Authors: Csaba Rohrer, Joachim Krois, Jay Patel, Hendrik Meyer-Lueckel, Jonas Almeida Rodrigues, Falk Schwendicke
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Diagnostics
Subjects:
machine learning
deep learning
image segmentation
dental restorations
Online Access:https://www.mdpi.com/2075-4418/12/6/1316

Internet

https://www.mdpi.com/2075-4418/12/6/1316

Similar Items