Deep Learning Radiomics Nomogram Based on Multiphase Computed Tomography for Predicting Axillary Lymph Node Metastasis in Breast Cancer.

Zhang, Jieqiu; Yin, Wei; Yang, Lu; Yao, Xiaopeng

Zhang, Jieqiu; Yin, Wei; Yang, Lu; Yao, Xiaopeng.

Afiliación

Zhang J; School of Public Health, Southwest Medical University, Luzhou, China.
Yin W; Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Yang L; Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Yao X; School of Medical Information and Engineering, Southwest Medical University, Luzhou, China. xp_yao@swmu.edu.cn.

Mol Imaging Biol ; 26(1): 90-100, 2024 Feb.

Article en En | MEDLINE | ID: mdl-37563517

Asunto(s)

Neoplasias de la Mama; Aprendizaje Profundo; Linfoma; Humanos; Femenino; Metástasis Linfática/diagnóstico por imagen; Neoplasias de la Mama/diagnóstico por imagen; Nomogramas; Radiómica; Estudios Retrospectivos; Ganglios Linfáticos/diagnóstico por imagen; Tomografía Computarizada por Rayos X

Palabras clave

Axillary lymph node metastasis; Breast cancer; Contrast-enhanced computed tomography; Deep learning; Machine learning; Radiomics

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Aprendizaje Profundo / Linfoma Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Revista: Mol Imaging Biol Asunto de la revista: BIOLOGIA MOLECULAR / DIAGNOSTICO POR IMAGEM Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google