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

OBJECTIVES: To 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 t...

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Detalles Bibliográficos
Autores principales: Xu, Dong, Wang, Yuan, Wu, Hao, Lu, Wenliang, Chang, Wanru, Yao, Jincao, Yan, Meiying, Peng, Chanjuan, Yang, Chen, Wang, Liping, Xu, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9660226/
https://www.ncbi.nlm.nih.gov/pubmed/36387869
http://dx.doi.org/10.3389/fendo.2022.981403

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9660226/
https://www.ncbi.nlm.nih.gov/pubmed/36387869
http://dx.doi.org/10.3389/fendo.2022.981403

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