Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks

Spleen volume estimation using automated image segmentation technique may be used to detect splenomegaly (abnormally enlarged spleen) on Magnetic Resonance Imaging (MRI) scans. In recent years, Deep Convolutional Neural Networks (DCNN) segmentation methods have demonstrated advantages for abdominal...

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Detalhes bibliográficos
Publicado no:Proc SPIE Int Soc Opt Eng
Main Authors: Huo, Yuankai, Xu, Zhoubing, Bao, Shunxing, Bermudez, Camilo, Plassard, Andrew J., Liu, Jiaqi, Yao, Yuang, Assad, Albert, Abramson, Richard G., Landman, Bennett A.
Formato: Artigo
Idioma:Inglês
Publicado em: 2018
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5992918/
https://ncbi.nlm.nih.gov/pubmed/29887666
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.2293406
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