Comparison of diagnostic accuracy and utility of artificial intelligence–optimized ACR TI-RADS and original ACR TI-RADS: a multi-center validation study based on 2061 thyroid nodules.

Detalles Bibliográficos
Publicado en:European Radiology Vol. 32; no. 11; pp. 7733 - 7743
Autores principales: Liu, Ying, Li, Xiaoxian, Yan, Cuiju, Liu, Longzhong, Liao, Ying, Zeng, Hongyan, Huang, Weijun, Li, Qian, Tao, Nansheng, Zhou, Jianhua
Formato: Journal Article
Publicado: Springer Nature Nov2022
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Comparison of diagnostic accuracy and utility of artificial intelligence–optimized ACR TI-RADS and original ACR TI-RADS: a multi-center validation study based on 2061 thyroid nodules.
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          Liu, Ying
          Li, Xiaoxian
          Yan, Cuiju
          Liu, Longzhong
          Liao, Ying
          Zeng, Hongyan
          Huang, Weijun
          Li, Qian
          Tao, Nansheng
          Zhou, Jianhua
        affil: Department of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, No. 651 Dongfeng Road East, 510060, Guangzhou, People's Republic of China
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      doctype: Journal Article
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    language: English
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