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Papers of the Week
Deep learning-driven MRI trigeminal nerve segmentation with SEVB-net.
Authors
Zhang C, Li M, Luo Z, Xiao R, Li B, Shi J, Zeng C, Sun B, Xu X, Yang HAbstract
Trigeminal neuralgia (TN) poses significant challenges in its diagnosis and treatment due to its extreme pain. Magnetic resonance imaging (MRI) plays a crucial role in diagnosing TN and understanding its pathogenesis. Manual delineation of the trigeminal nerve in volumetric images is time-consuming and subjective. This study introduces a Squeeze and Excitation with BottleNeck V-Net (SEVB-Net), a novel approach for the automatic segmentation of the trigeminal nerve in three-dimensional T2 MRI volumes.