An artificial intelligence ultrasound system’s ability to distinguish benign from malignant follicular-patterned lesions

An artificial intelligence ultrasound system’s ability to distinguish benign from malignant follicular-patterned lesions

ObjectivesTo evaluate the application value of a generally trained artificial intelligence (AI) automatic diagnosis system in the malignancy diagnosis of follicular-patterned thyroid lesions (FPTL), including follicular thyroid carcinoma (FTC), adenomatoid hyperplasia nodule (AHN) and follicular thy...

Full description

Bibliographic Details
Main Authors: Dong Xu, Yuan Wang, Hao Wu, Wenliang Lu, Wanru Chang, Jincao Yao, Meiying Yan, Chanjuan Peng, Chen Yang, Liping Wang, Lei Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Endocrinology
Subjects:
thyroid adenomas
adenocarcinomas
follicular
ultrasonography
artificial intelligence
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2022.981403/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2022.981403/full

Similar Items