Diagnosis of Cubital Tunnel Syndrome Using Deep Learning on Ultrasonographic Images

Diagnosis of Cubital Tunnel Syndrome Using Deep Learning on Ultrasonographic Images

Although electromyography is the routine diagnostic method for cubital tunnel syndrome (CuTS), imaging diagnosis by measuring cross-sectional area (CSA) with ultrasonography (US) has also been attempted in recent years. In this study, deep learning (DL), an artificial intelligence (AI) method, was u...

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Bibliographic Details
Main Authors: Issei Shinohara, Atsuyuki Inui, Yutaka Mifune, Hanako Nishimoto, Kohei Yamaura, Shintaro Mukohara, Tomoya Yoshikawa, Tatsuo Kato, Takahiro Furukawa, Yuichi Hoshino, Takehiko Matsushita, Ryosuke Kuroda
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Diagnostics
Subjects:
artificial intelligence
cubital tunnel syndrome
deep learning
ulnar nerve
ultrasonography
Online Access:https://www.mdpi.com/2075-4418/12/3/632

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https://www.mdpi.com/2075-4418/12/3/632

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