sct-pipeline / contrast-agnostic-softseg-spinalcord

Contrast-agnostic spinal cord segmentation project with softseg
MIT License
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Analysis for the paper #68

Closed sandrinebedard closed 9 months ago

sandrinebedard commented 10 months ago

Description

This issue describes the analysis we want to include in the paper.

Inference on other datasets

CSA analysis

valosekj commented 10 months ago
  • [ ] Run sct_deepseg_sc 2d, 3d and propseg on sci-colorado and basel-mp2rage

You can reuse comparison_with_other_methods_sc.sh and generate_figure.py scripts from the SCIseg project. Briefly, the comparison_with_other_methods_sc.sh script runs sct_propseg, sct_deepseg_sc 2d, and sct_deepseg_sc 3d together with a proposed model (in SCIseg, we use nnUNet, thus this part has to be updated for the contrast-agnostic). Then, the script computes ANIMA metrics between the predictions and GT. The script also tracks the execution time for each method. Then, the generate_figures.py script is used to fetch the ANIMA outputs and create raincloud plots.

naga-karthik commented 9 months ago

@sandrinebedard as far as I know, all the above tasks have been completed. Can I close this issue now?

sandrinebedard commented 9 months ago

Yes we can close!