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Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks

The findings of splenomegaly, abnormal enlargement of the spleen, is a non-invasive clinical biomarker for liver and spleen disease. Automated segmentation methods are essential to efficiently quantify splenomegaly from clinically acquired abdominal magnetic resonance imaging (MRI) scans. However, t...

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Podrobná bibliografie
Vydáno v:IEEE Trans Med Imaging
Hlavní autoři: Huo, Yuankai, Xu, Zhoubing, Bao, Shunxing, Bermudez, Camilo, Moon, Hyeonsoo, Parvathaneni, Prasanna, Moyo, Tamara K., Savona, Michael R., Assad, Albert, Abramson, Richard G., Landman, Bennett A.
Médium: Artigo
Jazyk:Inglês
Vydáno: 2018
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7194446/
https://ncbi.nlm.nih.gov/pubmed/30442602
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2018.2881110
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