---
tags:
- 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](https://zea.readthedocs.io/en/latest/_modules/zea/models/echonetlvh.html#EchoNetLVH).

📚 A tutorial notebook where this model is used: ["Task-based transmit beamforming perception-action loop"](https://zea.readthedocs.io/en/latest/notebooks/agent/task_based_perception_action_loop.html).