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pro vyhledávání: '"Shimovolos, Stanislav"'
Autor:
Kurmukov, Anvar, Chernina, Valeria, Gareeva, Regina, Dugova, Maria, Petrash, Ekaterina, Aleshina, Olga, Pisov, Maxim, Shirokikh, Boris, Samokhin, Valentin, Proskurov, Vladislav, Shimovolos, Stanislav, Basova, Maria, Goncahrov, Mikhail, Soboleva, Eugenia, Donskova, Maria, Yaushev, Farukh, Shevtsov, Alexey, Zakharov, Alexey, Saparov, Talgat, Gombolevskiy, Victor, Belyaev, Mikhail
Interpretation of chest computed tomography (CT) is time-consuming. Previous studies have measured the time-saving effect of using a deep-learning-based aid (DLA) for CT interpretation. We evaluated the joint impact of a multi-pathology DLA on the ti
Externí odkaz:
http://arxiv.org/abs/2406.08137
Deep learning methods provide significant assistance in analyzing coronavirus disease (COVID-19) in chest computed tomography (CT) images, including identification, severity assessment, and segmentation. Although the earlier developed methods address
Externí odkaz:
http://arxiv.org/abs/2203.14616
Autor:
Shimovolos S; Moscow Institute of Physics and Technology, 141701 Moscow, Russia., Shushko A; Moscow Institute of Physics and Technology, 141701 Moscow, Russia., Belyaev M; Skolkovo Institute of Science and Technology, 143026 Moscow, Russia.; Artificial Intelligence Research Institute (AIRI), 105064 Moscow, Russia., Shirokikh B; Skolkovo Institute of Science and Technology, 143026 Moscow, Russia.; Artificial Intelligence Research Institute (AIRI), 105064 Moscow, Russia.
Publikováno v:
Journal of imaging [J Imaging] 2022 Aug 30; Vol. 8 (9). Date of Electronic Publication: 2022 Aug 30.