Self-Trained Supervised Segmentation of Subcortical Brain Structures Using Multispectral Magnetic Resonance Images

<div>Segmentation results of the automatically trained<i> k</i>NN (axial and coronal sections on the left) and PCDA (axial and coronal sections on the right) classifier for one of the studies of the<i> Image dataset I</i> (IXI002-Guys-0828).</div>

BioMed Research International

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Figure 3: Self-Trained Supervised Segmentation of Subcortical Brain Structures Using Multispectral Magnetic Resonance Images 