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A Semi-supervised Four-Chamber Echocardiographic Video Segmentation Algorithm Based on Multilevel Edge Perception and Calibration Fusion.

Yuexin WanDandan LiZhi LiJie BuMutian TongRuwei LuoBaokun YueShan Yu
Published in: Ultrasound in medicine & biology (2024)
The proposed model effectively solves the challenges encountered in echocardiography by using semi-supervised networks, thereby improving the segmentation accuracy of the ventricles. This indicates that the proposed model can assist cardiologists in obtaining accurate and effective research and diagnostic results.
Keyphrases
  • machine learning
  • deep learning
  • left ventricular
  • convolutional neural network
  • pulmonary hypertension
  • computed tomography
  • heart failure
  • mitral valve
  • ejection fraction