Differential diagnosis of breast cancer assisted by S-Detect artificial intelligence system.

Xia, Qun; Cheng, Yangmei; Hu, Jinhua; Huang, Juxia; Yu, Yi; Xie, Hongjuan; Wang, Jun

Xia, Qun; Cheng, Yangmei; Hu, Jinhua; Huang, Juxia; Yu, Yi; Xie, Hongjuan; Wang, Jun.

Afiliación

Xia Q; Department of Ultrasound, Anqing First People's Hospital Affiliated to Anhui Medical University, Anhui 246004, China.
Cheng Y; Department of Ultrasound, Anqing First People's Hospital Affiliated to Anhui Medical University, Anhui 246004, China.
Hu J; Department of Ultrasound, Anqing First People's Hospital Affiliated to Anhui Medical University, Anhui 246004, China.
Huang J; Department of Ultrasound, Anqing First People's Hospital Affiliated to Anhui Medical University, Anhui 246004, China.
Yu Y; Department of Ultrasound, Anqing First People's Hospital Affiliated to Anhui Medical University, Anhui 246004, China.
Xie H; Department of Ultrasound, Anqing First People's Hospital Affiliated to Anhui Medical University, Anhui 246004, China.
Wang J; Department of Ultrasound, Anqing First People's Hospital Affiliated to Anhui Medical University, Anhui 246004, China.

Math Biosci Eng ; 18(4): 3680-3689, 2021 04 27.

Article en En | MEDLINE | ID: mdl-34198406

Asunto(s)

Neoplasias de la Mama; Inteligencia Artificial; Mama/diagnóstico por imagen; Neoplasias de la Mama/diagnóstico por imagen; Diagnóstico Diferencial; Femenino; Humanos; Sensibilidad y Especificidad; Ultrasonografía Mamaria

Palabras clave

S-Detect technique; artificial intelligence; breast cancer; diagnostic efficiency; ultrasonography

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama Tipo de estudio: Diagnostic_studies Límite: Female / Humans Idioma: En Revista: Math Biosci Eng Año: 2021 Tipo del documento: Article País de afiliación: China

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