
Multi-object model-based multi-atlas segmentation for rodent brains using dense discrete correspondences
Author(s) -
J. Lee,
S.H. Kim,
M. Styner
Publication year - 2016
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - Uncategorized
DOI - 10.17615/t57k-qh55
Subject(s) - artificial intelligence , segmentation , computer science , atlas (anatomy) , computer vision , object (grammar) , rodent , pattern recognition (psychology) , biology , anatomy , ecology