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Grey Matter Sublayer Thickness Estimation in the Mouse Cerebellum [chapter]

Da Ma, Manuel J. Cardoso, Maria A. Zuluaga, Marc Modat, Nick Powell, Frances Wiseman, Victor Tybulewicz, Elizabeth Fisher, Mark F. Lythgoe, Sébastien Ourselin
<span title="">2015</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
Most studies about grey matter thickness estimation focused on the cortex, and little attention has been drawn on the morphology of the cerebellum.  ...  In this work, we introduce a framework to extract the Purkinje layer within the grey matter, enabling the estimation of the thickness of the cerebellar grey matter, the granular layer and molecular layer  ...  Methods In this section we introduce the proposed framework for cerebellum sublayer thickness estimation. The overall pipeline is presented in Fig. 1 .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-24574-4_77">doi:10.1007/978-3-319-24574-4_77</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jrncyc4k7ffwlebww755mcffpi">fatcat:jrncyc4k7ffwlebww755mcffpi</a> </span>
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