Open Nilser3 opened 1 month ago
I created the dataset here, and gave write access to @Nilser3, @simonqueric, @NathanMolinier: https://data.neuro.polymtl.ca/datasets/lumbar-rsna-challenge-2024
Thanks you @mguaypaq
@simonqueric the data is already in my branch: nlm/initial_data
For each binary point (annotation) there is a Json file where the severity is indicated.
cat derivatives/labels/sub-1190473557/anat/sub-1190473557_acq-ax_rec-3634559093_T2w_desc-L1L2_label-LeftSubarticularStenosis_label.json
{
"SpatialReference": "orig",
"PathologySeverity": "Normal/Mild",
"GeneratedBy": [
{
"Name": "Manual",
"Author": "Nilser Laines Medina",
"Date": "2024-07-22",
"Note": "Based on original coordinates from sourcedata/train.csv in DICOM space"
}
]
}
@NathanMolinier @simonqueric @KaterinaKrejci231054 TotalSegmentations are git-annexed
Description
I would like to push a new dataset
lumbar-rsna-challenge2024
to git-annex. This is a public dataset, contains 1975 subjects fromRSNA 2024 Lumbar Spine Degenerative Classification challenge
: https://www.kaggle.com/competitions/rsna-2024-lumbar-spine-degenerative-classificationDetails
Raw data (Dicom) location:
duke/mri/lumbar-classification-rsna-challenge-2024
Project repo: Link Code for convert Dicom to BIDS : LinkContent
anat
: T1w, T2w_sag and T2w_axGT
: annotation of the pathology (binary point). ie: spinal canal stenosis, neural foraminal narrowing and subarticular stenosis, from L1 to S1region
: L1 to SacrumNaming suggestions for the dataset
Following the intranet convention, maybe it could be:
lumbar-rsna-challenge2024
feedback pls @simonqueric @NathanMolinier
Related issue
#14