Efficient segmentation of active and inactive plaques in FLAIR-images using DeepLabV3Plus SE with efficientnetb0 backbone in multiple sclerosis

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 SE with the EfficientNetB0 backbone in Multiple scl...

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Hauptverfasser:	Mahsa Naeeni Davarani, Ali Arian Darestani, Virginia Guillen Cañas, Hossein Azimi, Sanaz Heydari Havadaragh, Hasan Hashemi, Mohammd Hossein Harirchian
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2024-07-01
Schriftenreihe:	Scientific Reports
Online-Zugang:	https://doi.org/10.1038/s41598-024-67130-6
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