Pancreas segmentation with probabilistic map guided bi-directional recurrent UNet. (arXiv:1903.00923v6 [cs.CV] UPDATED)

Pancreas segmentation in medical imaging data is of great significance for
clinical pancreas diagnostics and treatment. However, the large population
variations in the pancreas shape and volume cause enormous segmentation
difficulties, even for state-of-the-art algorithms utilizing
fully-convolutional neural networks (FCNs). Specifically, pancreas segmentation
suffers from the loss of spatial information in 2D methods, and the high
computational cost of 3D methods. To alleviate these problems, we propose a
probabilistic-map-guided bi-directional recurrent UNet (PBR-UNet) architecture,
which fuses intra-slice information and inter-slice …

arxiv bi cv map segmentation unet