Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs

Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs

Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts and tumors. In this study, we seek to investigate the ability with which 24 oral and maxil...

全面介绍

书目详细资料
Main Authors: Michael G. Endres, Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim Lakhani, Max Heiland, Robert A. Gaudin
格式: 文件
语言:English
出版: MDPI AG 2020-06-01
丛编:Diagnostics
主题:
artificial intelligence
diagnosis
computer-assisted
image interpretation
machine learning
在线阅读:https://www.mdpi.com/2075-4418/10/6/430

因特网

https://www.mdpi.com/2075-4418/10/6/430

相似书籍