Semi-supervised segmentation of echocardiography videos using graph signal processing

HIGHLIGHTS

  • who: Marwa Chendeb El rai and collaborators from the Mathematics Department, School of Arts and Sciences, American University in Dubai have published the paper: Semi-Supervised Segmentation of Echocardiography Videos Using Graph Signal Processing, in the Journal: Electronics 2022, 11, 3462. of /2022/
  • what: The authors propose a new approach called GraphECV based on the use of for learning of video object segmentation applied for the segmentation of the left ventricle in echordiography videos. An ablation study was conducted to compare many semantic and instance segmentation methods. The semi-supervised learning approach aiming to minimize . . .

     

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