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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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書誌詳細
出版年:Proc SPIE Int Soc Opt Eng
主要な著者: Huo, Yuankai, Xu, Zhoubing, Bao, Shunxing, Bermudez, Camilo, Plassard, Andrew J., Liu, Jiaqi, Yao, Yuang, Assad, Albert, Abramson, Richard G., Landman, Bennett A.
フォーマット: Artigo
言語:Inglês
出版事項: 2018
主題:
オンライン・アクセス: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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