Medical Segmentation Decathlon
June 21, 2022 · View on GitHub
The Medical Segmentation Decathlon is a collection of medical image segmentation datasets. It contains a total of 2,633 three-dimensional images collected across multiple anatomies of interest, multiple modalities and multiple sources. Specifically, it contains data for the following body organs or parts: Brain, Heart, Liver, Hippocampus, Prostate, Lung, Pancreas, Hepatic Vessel, Spleen and Colon.
Performance
Unetr
Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath, Dong Yang, Andriy Myronenko, Bennett Landman, Holger Roth, Daguang Xu · "UNETR: Transformers for 3D Medical Image Segmentation" Accepted to IEEE Winter Conference on Applications of Computer Vision (WACV) 2022
| Backbone | Resolution | lr | Training Iters | Dice | Links |
|---|---|---|---|---|---|
| - | 128x128x128 | 1e-4 | 30000 | 71.8% | model|log|vdl |