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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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| 出版年: | Proc SPIE Int Soc Opt Eng |
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| 主要な著者: | , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 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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