Classification in Dynamic Contrast-enhanced Breast MRI : Comparison of Cluster-based approach and BI-RADS Criteria

@inproceedings{Lee2013ClassificationID,
  title={Classification in Dynamic Contrast-enhanced Breast MRI : Comparison of Cluster-based approach and BI-RADS Criteria},
  author={Sang Ho Lee and Jong Hyo Kim and Kwang Gi Kim and Sang Joon Park and Jung Sun Park and Woo Kyung Moon},
  year={2013}
}
This study introduces an automatic classification of kinetic patterns on dynamic contrast-enhanced (DCE) breast MR images. We performed k-means cluster analysis technique from real world tumor cases into a reasonable number of reference pattern set that is representative of each cluster. This technique, then, classifies the tumor specific patterns from the given MRI data by measuring vector distances from the reference pattern set. The detections are also compared with color-highlighted texture… CONTINUE READING