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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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Detalhes bibliográficos
Publicado no:Patch Based Tech Med Imaging (2017)
Main Authors: Dong, Mengjin, Oguz, Ipek, Subbana, Nagesh, Calabresi, Peter, Shinohara, Russell T., Yushkevich, Paul
Formato: Artigo
Idioma:Inglês
Publicado em: 2017
Assuntos:
Acesso em linha: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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