sct-pipeline/contrast-agnostic-softseg-spinalcord
Contrast-agnostic spinal cord segmentation project with softseg
PythonMIT
Issues
- 0
tag and release should be the same
#124 opened by jcohenadad - 10
Incorrect segmentation on a thoracic healthy patient
#122 opened by po09i - 1
Release strategy for models
#123 opened by jcohenadad - 2
- 10
Contrast-agnostic model on a lumbar SCI patient outputs incorrect segmentation
#118 opened by naga-karthik - 0
open PR to merge code to generate nice figure
#121 opened by jcohenadad - 2
- 1
- 0
Increase probability of existing transforms
#119 opened by naga-karthik - 3
- 20
- 9
Shifted predictions
#113 opened by jcohenadad - 4
Consider binarizing the ground truth after averaging across contrasts, before training a softseg model
#99 opened by jcohenadad - 2
Upload QC of test set
#115 opened by jcohenadad - 1
- 6
Training SynthSeg on spine-generic data
#111 opened by naga-karthik - 7
Inconsistent list of subject used for training
#109 opened by jcohenadad - 1
- 3
run_inference_single_image.py v1 vs v2
#106 opened by jcohenadad - 0
Consider moving this repository to ivadomed
#110 opened by jcohenadad - 1
- 1
- 3
- 12
- 1
Create scripts to reproduce results
#101 opened by jcohenadad - 26
Strategy to re-use existing binary ground truth for enriching contrast-agnostic model
#84 opened by jcohenadad - 2
- 2
What threshold to use on model prediction?
#98 opened by jcohenadad - 0
Make CLI callable from anywhere
#94 opened by jcohenadad - 1
Doc points to non-existing file
#92 opened by jcohenadad - 2
Implement strategy for assessing the quality of the model during lifelong training
#87 opened by jcohenadad - 0
Extend model to also segment the CSF
#89 opened by jcohenadad - 2
Cleanup repos
#62 opened by jcohenadad - 1
- 6
Slow repo cloning
#86 opened by valosekj - 3
Running into errors while using `--device gpu` while running inference using MONAI
#75 opened by rohanbanerjee - 2
Disc labels files created by `process_data.sh` are empty for `sub-brnoUhb` and `sub-tokyo750w` sites
#63 opened by valosekj - 4
- 0
- 1
Update README on how to run training
#49 opened by sandrinebedard - 2
- 7
- 5
Compute CSA prediction error
#67 opened by sandrinebedard - 3
UnetR training script
#52 opened by louisfb01 - 1
Work on a test notebook to identify the problem step by step and visualize each step of the pre-processing.
#56 opened by louisfb01 - 1
Try with much smaller patch sizes (based on nnunet recommended size @ebadrian ?).
#55 opened by louisfb01 - 3
Analysis for the paper
#68 opened by sandrinebedard - 1
When to center crop images at test-time
#70 opened by naga-karthik - 0
Augmentation with intensity scaling
#69 opened by naga-karthik - 3
Train on with other seeds
#48 opened by sandrinebedard