A Study on 3D Deep Learning-Based Automatic Diagnosis of Nasal Fractures

A Study on 3D Deep Learning-Based Automatic Diagnosis of Nasal Fractures

This paper reported a study on the 3-dimensional deep-learning-based automatic diagnosis of nasal fractures. (1) Background: The nasal bone is the most protuberant feature of the face; therefore, it is highly vulnerable to facial trauma and its fractures are known as the most common facial fractures...

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Bibliographic Details
Main Authors: Yu Jin Seol, Young Jae Kim, Yoon Sang Kim, Young Woo Cheon, Kwang Gi Kim
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Sensors
Subjects:
artificial intelligence
computed aided diagnosis (CAD)
3D-classification
nasal fractures
Online Access:https://www.mdpi.com/1424-8220/22/2/506

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https://www.mdpi.com/1424-8220/22/2/506

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