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...

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Detalles Bibliográficos
Autores principales: Yang, Yangzi, Jiang, Huiyan, Sun, Qingjiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5623798/
https://www.ncbi.nlm.nih.gov/pubmed/29075646
http://dx.doi.org/10.1155/2017/6941306

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5623798/
https://www.ncbi.nlm.nih.gov/pubmed/29075646
http://dx.doi.org/10.1155/2017/6941306

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