Diagnostic value of artificial intelligence automatic detection systems for breast BI-RADS 4 nodules.

Lyu, Shu-Yi; Zhang, Yan; Zhang, Mei-Wu; Zhang, Bai-Song; Gao, Li-Bo; Bai, Lang-Tao; Wang, Jue

Lyu, Shu-Yi; Zhang, Yan; Zhang, Mei-Wu; Zhang, Bai-Song; Gao, Li-Bo; Bai, Lang-Tao; Wang, Jue.

Afiliación

Lyu SY; Interventional Therapy Department, Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo 315010, Zhejiang Province, China.
Zhang Y; Interventional Therapy Department, Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo 315010, Zhejiang Province, China.
Zhang MW; Interventional Therapy Department, Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo 315010, Zhejiang Province, China.
Zhang BS; Interventional Therapy Department, Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo 315010, Zhejiang Province, China.
Gao LB; Interventional Therapy Department, Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo 315010, Zhejiang Province, China.
Bai LT; Interventional Therapy Department, Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo 315010, Zhejiang Province, China.
Wang J; Ultrasonography Department, Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo 315010, Zhejiang Province, China.

World J Clin Cases ; 10(2): 518-527, 2022 Jan 14.

Article en En | MEDLINE | ID: mdl-35097077

Palabras clave

Artificial intelligence; BI-RADS classification; Breast nodules; Breast tumor

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: World J Clin Cases Año: 2022 Tipo del documento: Article

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