Despite the central role of the claustrum in the structure and function of the mammalian forebrain, few in vivo human studies of this delicate, sheet-like structure exist. Here, the Menze group and their collaborators present a Deep Learning-based multi-view approach for segmenting the claustrum in T1-weighted MRI scans. The algorithm enables robust automatic claustrum segmentation and therefore holds potential for facilitating MRI-based human claustrum studies.
See Li et al., Hum Brain Mapp.
Access the software and models via: https://github.com/hongweilibran/claustrum_multi_view