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47b4706 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"channel_names": {
"0": "CT"
},
"labels": {
"background": 0,
"nodule": 1
},
"classification_labels": {
"malignancy": {
"0": "Benign",
"1": "Malignant"
}
},
"numTraining": 6141,
"file_ending": ".nii.gz",
"name": "Dataset009_LUNA25",
"description": "LUNA25 — cropped low-dose chest CT patches for lung nodule segmentation and malignancy risk estimation (6141 nodule crops from lung cancer screening CTs)",
"reference": "Peeters D, Obreja B, Antonissen N, Jacobs C. Benchmarking of Artificial Intelligence and Radiologists for Lung Cancer Screening in CT: The LUNA25 Challenge. Medical Image Computing and Computer Assisted Intervention 2025 (MICCAI). Zenodo. 2025. https://doi.org/10.5281/zenodo.15094631",
"licence": "CC BY 4.0",
"release": "1.0"
}
|