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Unsupervised tissue segmentation from dynamic contrast-enhanced magnetic resonance imaging.

Gabriele Chiusano1, Alessandra Staglianò1, Curzio Basso2

  • 1Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei Sistemi, Università degli Studi di Genova, Via Dodecaneso 35, 16146 Genova, Italy.

Artificial Intelligence in Medicine
|March 26, 2014
PubMed
Summary

This study introduces an unsupervised method for segmenting tissues in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) using sparse representations. The novel approach achieves high accuracy, outperforming existing techniques for medical image analysis.

Keywords:
Dictionary learningDynamic contrast enhanced magnetic resonance imagingSparse adaptive representationUnsupervised tissue segmentation

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