In this paper, we proposed a novel white matter tract segmentation method with dual input convolutional neural network to fuse two modal data. Specifically, the ...
In this paper, we proposed a novel white matter tract segmentation method with dual input convolutional neural net- work to fuse two modal data. Specifically, ...
In this paper, we proposed a novel white matter tract segmentation method with dual input convolutional neural network to fuse two modal data. Specifically, the ...
Dong X., et al.: Multimodality white matter tract segmentation using cnn. In: Proceedings of the ACM Turing Celebration Conference-China. pp. 1–8 (2019) ...
White matter tract segmentation is a pivotal research area that leverages diffusion-weighted magnetic resonance imaging (dMRI) for the identification and ...
Apr 7, 2020 · Our network outperforms current segmentation methods on two public segmentation challenges. Abstract. White matter hyperintensities (WMHs) ...
In fact, this is one of the first works that segment multiple sub-cortical structures using deep learning on diffusion images only. ...
Apr 5, 2023 · Finally, TractSeg is a novel convolutional neural network-based approach that directly segments 72 white matter tracts in the fields of fiber ...
3D Convolutional Neural Network Segmentation of White Matter Tract ...
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Abstract: This paper presents an application of 3D convolutional neural network (CNN) techniques to compute the white matter region spanned by a fiber tract ...
Missing: Multimodality | Show results with:Multimodality
We present a direct CNN-based method for white matter tract segmentation from DTI. •. The method accurately segmented 25 tracts from a large population ...
Missing: Multimodality | Show results with:Multimodality