Unsupervised tissue segmentation from dynamic contrast-enhanced magnetic resonance imaging

Conclusions The sparse representation of DCE MRI signals obtained by means of adaptive dictionary learning techniques appears to be well-suited for unsupervised tissue segmentation and applicable to different clinical contexts with little effort.
Source: Artificial Intelligence in Medicine - Category: Bioinformatics Source Type: research