Assessing Detection Accuracy of Computerized Sonographic Features and Computer-Assisted Reading Performance in Differentiating Thyroid Cancers

Assessing Detection Accuracy of Computerized Sonographic Features and Computer-Assisted Reading Performance in Differentiating Thyroid Cancers

For ultrasound imaging of thyroid nodules, medical guidelines are all based on findings of sonographic features to provide clinicians management recommendations. Due to the recent development of artificial intelligence and machine learning (AI/ML) technologies, there have been computer-assisted dete...

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Bibliographic Details
Main Authors: Hao-Chih Tai, Kuen-Yuan Chen, Ming-Hsun Wu, King-Jen Chang, Chiung-Nien Chen, Argon Chen
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Biomedicines
Subjects:
thyroid nodules
sonographic features
computer-assisted detection
MRMC study
Online Access:https://www.mdpi.com/2227-9059/10/7/1513

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