A Validation Employing Convolutional Neural Network for the Radiographic Detection of Absence or Presence of Teeth

A Validation Employing Convolutional Neural Network for the Radiographic Detection of Absence or Presence of Teeth

Dental radiography plays an important role in clinical diagnosis, treatment and making decisions. In recent years, efforts have been made on developing techniques to detect objects in images. The aim of this study was to detect the absence or presence of teeth using an effective convolutional neural...

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Bibliographic Details
Main Authors: María Prados-Privado, Javier García Villalón, Antonio Blázquez Torres, Carlos Hugo Martínez-Martínez, Carlos Ivorra
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Journal of Clinical Medicine
Subjects:
teeth detection
neural network
panoramic images
Online Access:https://www.mdpi.com/2077-0383/10/6/1186

Internet

https://www.mdpi.com/2077-0383/10/6/1186

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