echonet/lvh
EchoNet-LVH is a deep learning model that quantifies ventricular hypertrophy and predicts etiologies of increased wall thickness and LVH (amyloidosis, HCM, etc).
This tool helps cardiologists and sonographers analyze echocardiogram videos to detect and characterize increased left ventricular (LV) wall thickness. You input echocardiogram video files, and it outputs precise measurements of heart structures and predictions for specific conditions like hypertrophic cardiomyopathy or cardiac amyloidosis. It's designed for medical professionals needing automated, consistent cardiac diagnostics.
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Use this if you need to precisely quantify left ventricular hypertrophy and predict its underlying causes from echocardiogram videos with automated, expert-level accuracy.
Not ideal if you primarily work with static images or other cardiac imaging modalities like MRI or CT, as this tool is specific to echocardiogram videos.
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15
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2
Language
Python
License
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Category
Last pushed
Feb 04, 2025
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curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/echonet/lvh"
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