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pro vyhledávání: '"Mohammd Hossein Harirchian"'
Autor:
Mahsa Naeeni Davarani, Ali Arian Darestani, Virginia Guillen Cañas, Hossein Azimi, Sanaz Heydari Havadaragh, Hasan Hashemi, Mohammd Hossein Harirchian
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract This research paper introduces an efficient approach for the segmentation of active and inactive plaques within Fluid-attenuated inversion recovery (FLAIR) images, employing a convolutional neural network (CNN) model known as DeepLabV3Plus S
Externí odkaz:
https://doaj.org/article/61ebd2ed793d4e0e9c55f6aa462c219c