Hippocampal Shape Classification Using Redundancy Constrained Feature Selection
Landmark-based 3D hippocampal shape classification involves high-dimensional descriptor space, many noisy and redundant features, and a very small number of training samples. Feature selection becomes critical in this situation, because it not only improv
|Collections||ANU Research Publications|
|Source:||Proceedings of Medical Image Computing and Computer-Assisted Intervention (MiCCAI 2010)|
|01_Zhou_Hippocampal_Shape_2010.pdf||225.94 kB||Adobe PDF||Request a copy|
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