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Recurrent Multi-Fiber Network for 3D MRI Brain Tumor Segmentation
2021
Symmetry
Automated brain tumor segmentation based on 3D magnetic resonance imaging (MRI) is critical to disease diagnosis. Moreover, robust and accurate achieving automatic extraction of brain tumor is a big challenge because of the inherent heterogeneity of the tumor structure. In this paper, we present an efficient semantic segmentation 3D recurrent multi-fiber network (RMFNet), which is based on encoder–decoder architecture to segment the brain tumor accurately. 3D RMFNet is applied in our paper to
doi:10.3390/sym13020320
fatcat:j3odnadij5bgvjbynu2nobrbve