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Found 2 papers, 1 papers with code
Deep Cerebellar Nuclei Segmentation via Semi-Supervised Deep Context-Aware Learning from 7T Diffusion MRI
In this paper, we propose a novel deep learning framework (referred to as DCN-Net) for fast, accurate, and robust patient-specific segmentation of deep cerebellar dentate and interposed nuclei on 7T diffusion MRI.
Continuous Dice Coefficient: a Method for Evaluating Probabilistic Segmentations
The DC and cDC for automatic STN segmentation were 0. 66 and 0. 80, respectively.
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