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...
| Publicado en: | BioMed Research International Vol. 2017; pp. 1 - 10 |
|---|---|
| Autores principales: | , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
9/17/2017
|
| Acceso en línea: | Ver este registro en EBSCOhost |