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Multiple Sclerosis Lesion Segmentation Using Joint Label Fusion
This paper adapts the joint label fusion (JLF) multi-atlas image segmentation algorithm to the problem of multiple sclerosis (MS) lesion segmentation in multi-modal MRI. Conventionally, JLF requires a set of atlas images to be co-registered to the target image using deformable registration. However,...
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| I publikationen: | Patch Based Tech Med Imaging (2017) |
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| Huvudupphovsmän: | , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2017
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5918408/ https://ncbi.nlm.nih.gov/pubmed/29707700 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-67434-6_16 |
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