Preliminary Study on the Diagnostic Performance of a Deep Learning System for Submandibular Gland Inflammation Using Ultrasonography Images

Preliminary Study on the Diagnostic Performance of a Deep Learning System for Submandibular Gland Inflammation Using Ultrasonography Images

This study was performed to evaluate the diagnostic performance of deep learning systems using ultrasonography (USG) images of the submandibular glands (SMGs) in three different conditions: obstructive sialoadenitis, Sjögren’s syndrome (SjS), and normal glands. Fifty USG images with a confirmed diag...

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Bibliographic Details
Main Authors: Yoshitaka Kise, Chiaki Kuwada, Yoshiko Ariji, Munetaka Naitoh, Eiichiro Ariji
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Journal of Clinical Medicine
Subjects:
deep learning
ultrasonography
submandibular gland
obstructive sialoadenitis
Sjögren’s syndrome
Online Access:https://www.mdpi.com/2077-0383/10/19/4508

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