README.md

metadata

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. 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.