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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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| Yayımlandı: | IEEE Trans Med Imaging |
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| Asıl Yazarlar: | , , , , , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2018
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| Konular: | |
| Online Erişim: | 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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