Assessment of Axillary Lymph Nodes for Metastasis on Ultrasound Using Artificial Intelligence.

Tahmasebi, Aylin; Qu, Enze; Sevrukov, Alexander; Liu, Ji-Bin; Wang, Shuo; Lyshchik, Andrej; Yu, Joshua; Eisenbrey, John R

Tahmasebi, Aylin; Qu, Enze; Sevrukov, Alexander; Liu, Ji-Bin; Wang, Shuo; Lyshchik, Andrej; Yu, Joshua; Eisenbrey, John R.

Afiliación

Tahmasebi A; Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
Qu E; Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
Sevrukov A; Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Liu JB; Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
Wang S; Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
Lyshchik A; Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
Yu J; Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
Eisenbrey JR; Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.

Ultrason Imaging ; 43(6): 329-336, 2021 11.

Article en En | MEDLINE | ID: mdl-34416827

Asunto(s)

Inteligencia Artificial; Neoplasias de la Mama; Axila; Neoplasias de la Mama/diagnóstico por imagen; Femenino; Humanos; Ganglios Linfáticos/diagnóstico por imagen; Metástasis Linfática; Sensibilidad y Especificidad

Palabras clave

AutoML; artificial intelligence; axillary lymph nodes; breast cancer; ultrasound

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Inteligencia Artificial Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Female / Humans Idioma: En Revista: Ultrason Imaging Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

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