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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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| Vydáno v: | IEEE Trans Med Imaging |
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| Hlavní autoři: | , , , , , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2018
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| 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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