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echonetlvh
zeahub/echonetlvh
echonetlvh is a machine learning model from zeahub. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
EchoNet Left Ventricular Hypertrophy (LVH) model for echocardiogram analysis.
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At a glance
- Access
- Public
- Created
- Sep 10, 2025
- Updated
- Oct 27, 2025
- SHA
- 03b724ce
Model card
From the Hugging Face model README
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".
- Created
- Sep 10, 2025
- Updated
- Oct 27, 2025