%0 Figure %A Yin, X. -X. %A Hadjiloucas, S. %A Chen, J. -H. %A Zhang, Y. %A Wu, J. -L. %A Su, M. -Y. %D 2017 %T Cartesian segmentation of dynamic contrast enhanced MR image regions acquired at different time frames used for feature extraction in the current study, after [33]. %U https://plos.figshare.com/articles/figure/Cartesian_segmentation_of_dynamic_contrast_enhanced_MR_image_regions_acquired_at_different_time_frames_used_for_feature_extraction_in_the_current_study_after_33_/4744105 %R 10.1371/journal.pone.0172111.g001 %2 https://ndownloader.figshare.com/files/7780351 %K future applications %K image features %K cluster algorithm %K intensity distribution %K intensity consistency %K PCA %K tensorial approach %K multi-channel reconstruction %K breast tumour identification %K FCM %K tumour regions %K image contrast %K voxel reconstruction %K DCE-MRI %K tensor algebra %K Tumour segmentation %K reconstruction metrics %K reconstruction algorithms %K ES %K breast tumours identification %K tensorial framework %K resonance imaging %K value decomposition %K Principal component analysis %X

Cartesian segmentation of dynamic contrast enhanced MR image regions acquired at different time frames used for feature extraction in the current study, after [33].

%I PLOS ONE