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Intracerebral Haemorrhage Segmentation in Non-Contrast CT
A 3-dimensional (3D) convolutional neural network is presented for the segmentation and quantification of spontaneous intracerebral haemorrhage (ICH) in non-contrast computed tomography (NCCT). The method utilises a combination of contextual information on multiple scales for fast and fully automati...
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| Udgivet i: | Sci Rep |
|---|---|
| Main Authors: | , , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Nature Publishing Group UK
2019
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6882855/ https://ncbi.nlm.nih.gov/pubmed/31780815 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-54491-6 |
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