Deep learning enabled prediction of 5-year survival in pediatric genitourinary rhabdomyosarcoma.

Bhambhvani, Hriday P; Zamora, Alvaro; Velaer, Kyla; Greenberg, Daniel R; Sheth, Kunj R

Bhambhvani, Hriday P; Zamora, Alvaro; Velaer, Kyla; Greenberg, Daniel R; Sheth, Kunj R.

Afiliación

Bhambhvani HP; Department of Urology, Stanford University Medical Center, Stanford, CA, USA. Electronic address: hriday@stanford.edu.
Zamora A; Department of Urology, Stanford University Medical Center, Stanford, CA, USA.
Velaer K; Department of Urology, Stanford University Medical Center, Stanford, CA, USA.
Greenberg DR; Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Sheth KR; Department of Urology, Stanford University Medical Center, Stanford, CA, USA. Electronic address: shethk@stanford.edu.

Surg Oncol ; 36: 23-27, 2021 Mar.

Article en En | MEDLINE | ID: mdl-33276260

Asunto(s)

Aprendizaje Profundo; Rabdomiosarcoma/mortalidad; Programa de VERF/estadística & datos numéricos; Niño; Terapia Combinada; Femenino; Estudios de Seguimiento; Humanos; Masculino; Pronóstico; Estudios Retrospectivos; Rabdomiosarcoma/patología; Rabdomiosarcoma/terapia

Palabras clave

Artificial intelligence; Machine learning; Prognostication; Sarcoma; Urogenital

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Rabdomiosarcoma / Programa de VERF / Aprendizaje Profundo Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Child / Female / Humans / Male Idioma: En Revista: Surg Oncol Asunto de la revista: NEOPLASIAS Año: 2021 Tipo del documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google