| 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 |