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[Epicardial fat Tissue Volumetry: Comparison of Semi-Automatic Measurement and the Machine Learning Algorithm].
Chernina, V Y; Pisov, M E; Belyaev, M G; Bekk, I V; Zamyatina, K A; Korb, T A; Aleshina, O O; Shukina, E A; Solovev, A V; Skvortsov, R A; Filatova, D A; Sitdikov, D I; Chesnokova, A O; Morozov, S P; Gombolevsky, V A.
Afiliación
  • Chernina VY; Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department, Moscow.
  • Pisov ME; Skolkovo Institute of Science and Technology, Moscow.
  • Belyaev MG; Skolkovo Institute of Science and Technology, Moscow.
  • Bekk IV; National Medical and Surgical Center named after N.I. Pirogov of the Ministry of Healthcare of the Russian Federation, Moscow.
  • Zamyatina KA; A.V. Vishnevsky National Medical Research Center of Surgery, Moscow.
  • Korb TA; Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department, Moscow.
  • Aleshina OO; Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department, Moscow.
  • Shukina EA; Moscow State University of Medicine and Dentistry named after A.I. Evdokimov, Moscow.
  • Solovev AV; Sklifosovsky Clinical and Research Institute for Emergency Medicine, Moscow.
  • Skvortsov RA; National Medical and Surgical Center named after N.I. Pirogov of the Ministry of Healthcare of the Russian Federation, Moscow.
  • Filatova DA; Lomonosov Moscow State University, Moscow.
  • Sitdikov DI; The First Sechenov Moscow State Medical University, Moscow.
  • Chesnokova AO; The First Sechenov Moscow State Medical University, Moscow.
  • Morozov SP; Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department, Moscow.
  • Gombolevsky VA; Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department, Moscow.
Kardiologiia ; 60(9): 46-54, 2020 Oct 14.
Article en Ru | MEDLINE | ID: mdl-33131474
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Aprendizaje Automático Tipo de estudio: Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Europa Idioma: Ru Revista: Kardiologiia Año: 2020 Tipo del documento: Article Pais de publicación: Rusia
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Aprendizaje Automático Tipo de estudio: Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Europa Idioma: Ru Revista: Kardiologiia Año: 2020 Tipo del documento: Article Pais de publicación: Rusia