SPIDER Baseline nnU-Net
About
Interfaces
This algorithm implements all of the following input-output combinations:
| Inputs | Outputs | |
|---|---|---|
| 1 |
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Challenge Performance
| Date | Challenge | Phase | Rank |
|---|---|---|---|
| July 3, 2023 | spider | Validation and tuning phase | 2 |
| July 3, 2023 | spider | Testing phase | 1 |
Model Facts
Summary
This algorithm is one of the two baseline algorithms of the SPIDER-Challenge.
The SPIDER Challenge focuses on the segmentation of three anatomical structures in lumbar spine MRI: vertebrae, intervertebral discs (IVDs), and spinal canal. The segmentation task requires similar algorithms to produce separate masks for each vertebra, IVD, and the spinal canal in the lumbar spine MRI volume. This is an nnU-Net based algorithm trained on the complete SPIDER training and validation set using five-fold cross-validation. The labeling sequence of the SPIDER dataset was altered before training this algorithm. The spinal canal is labeled as 1. All IVDs and vertebrae are labeled between 2 and 49 from caudal to cranial (e.g. 2 = IVD L5/S1; 3 = vertebra L5; 4 = IVD L4/L5; 5 = vertebra L4 etc.).
Mechanism
The mechanism of this algorithm is explained in this paper.
Validation and Performance
Uses and Directions
This algorithm was developed for research purposes only.
Warnings
Common Error Messages
Information on this algorithm has been provided by the Algorithm Editors, following the Model Facts labels guidelines from Sendak, M.P., Gao, M., Brajer, N. et al. Presenting machine learning model information to clinical end users with model facts labels. npj Digit. Med. 3, 41 (2020). 10.1038/s41746-020-0253-3