| | --- |
| | datasets: |
| | - zeahub/echonet-dynamic |
| | language: |
| | - en |
| | base_model: |
| | - MCG-NJU/videomae-base |
| | tags: |
| | - medical |
| | --- |
| | |
| | This repository provides a VideoMAE-based Segmentation Model. It includes: |
| |
|
| | - Backbone: A ViT-Base encoder pre-trained with VideoMAE on EchoNet-Dynamic. |
| | - Segmentation Head: A decoder designed to predict pixel-wise masks for the Left Ventricle at the end of systole and end of diastole. The input is a 16-frame video. |
| |
|
| | The coder is published via github: https://github.com/mar1lle/echo-segmentation |
