[Epicardial fat Tissue Volumetry: Comparison of Semi-Automatic Measurement and the Machine Learning Algorithm].

Autor: 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.

Publikováno v: Kardiologiia [Kardiologiia] 2020 Oct 14; Vol. 60 (9), pp. 46-54. Date of Electronic Publication: 2020 Oct 14.