A Multiorgan Segmentation Model for CT Volumes via Full Convolution-Deconvolution Network.
We propose a model with two-stage process for abdominal segmentation on CT volumes. First, in order to capture the details of organs, a full convolution-deconvolution network (FCN-DecNet) is constructed with multiple new unpooling, deconvolutional, and fusion layers. Then, we optimize the coarse seg...
| Published in: | BioMed Research International Vol. 2017; pp. 1 - 10 |
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| Main Authors: | , , |
| Format: | diagnostic images equations & formulas research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
9/17/2017
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| Online Access: | View this record in EBSCOhost |