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  - segmentation

EchoNet-LVH

EchoNet Left Ventricular Hypertrophy (LVH) model for echocardiogram analysis.

This model performs semantic segmentation on echocardiogram images to identify key anatomical landmarks for measuring left ventricular wall thickness:

  • LVPWd_1: Left Ventricular Posterior Wall point 1
  • LVPWd_2: Left Ventricular Posterior Wall point 2
  • IVSd_1: Interventricular Septum point 1
  • IVSd_2: Interventricular Septum point 2

The model outputs 4-channel logits corresponding to heatmaps for each landmark.

Original paper and code: https://echonet.github.io/lvh/index.html

🌽 This is a zea implementation of the model. For the source code check here.

📚 A tutorial notebook where this model is used: "Task-based transmit beamforming perception-action loop".