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Initial upload: nnU-Net NLSTseg fold 0 (Pseudo Dice 0.7663, no overfitting)
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{
"channel_names": {
"0": "CT"
},
"labels": {
"background": 0,
"lesion": 1
},
"numTraining": 604,
"file_ending": ".nii.gz",
"name": "Dataset503_NLSTseg",
"description": "NLSTseg lung lesion segmentation \u2014 POC dataset (binarized from multi-label expert annotations) \u2014 nlst_0393 (patient 205714) excluded due to source CT/mask shape mismatch.",
"reference": "Chen et al. 2025, Scientific Data \u2014 https://doi.org/10.1038/s41597-025-05742-x",
"licence": "CC BY 4.0"
}