Spaces:
Runtime error
Runtime error
| title: Swinunetr Dicom Video | |
| emoji: 📖🎬 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 3.0.24 | |
| app_file: app.py | |
| pinned: false | |
| license: apache-2.0 | |
| This repository contains the code for UNETR: Transformers for 3D Medical Image Segmentation. UNETR is the first 3D segmentation network that uses a pure vision transformer as its encoder without relying on CNNs for feature extraction. The code presents a volumetric (3D) multi-organ segmentation application using the BTCV challenge dataset. | |
| Check out the Beyond the Cranial Vault source Swin-UNET models [here](https://huggingface.co/darragh/swinunetr-btcv-small). Also in the link, you can see links to the original BTCV winning solution. | |
| This is a small demo on a subset of the test data for the [BTCV competition](https://zenodo.org/record/1169361#.YtGvn-xKhb8). | |