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pro vyhledávání: '"Feng, Yushan"'
This paper proposes a two-stage segmentation model, variable-input based uncertainty measures and an uncertainty-guided post-processing method for prostate segmentation on 3D magnetic resonance images (MRI). The two-stage model was based on 3D dilate
Externí odkaz:
http://arxiv.org/abs/1903.02500
Deep neural networks (DNN) have shown promises in the lesion segmentation of multiple sclerosis (MS) from multicontrast MRI including T1, T2, proton density (PD) and FLAIR sequences. However, one challenge in deploying such networks into clinical pra
Externí odkaz:
http://arxiv.org/abs/1811.07491