QIN LungCT Seg QIN multi site collection of Lung CT data with Nodule Segmentations — a TCIA analysis result from the NCI Quantitative Imaging Network (QIN). Thoracic CT scans of non small cell lung cancer (NSCLC) patients with multi algorithm nodule/tumor segmentations contributed by three institutions, each run three times, as a study of inter algorithm and test retest segmentation variability (Kalpathy Cramer et al., J Digit Imaging 2016). Read before benchmarking — three things make this set unusual: 1. No manual gold standard. Every mask is algorithm generated . Each tumor is segmented 9 times (3 algorithms x 3 runs). You must define a reference yourself (e.g. STAPLE / majority consensus) — see Ground Truth below. 2. Public release is "minus Stanford". TCIA cannot redistribute the Stanford sourced images, so the paper's full 41 scans / 52 tumors / 468 SEG ship publicly as 31 scans / 42 tumors / 378 SEG . This mirror is the complete public set — nothing further is withheld by us. 3. Source image leakage hazard. The CT images are drawn from other TCIA collections (LIDC IDRI, RIDER Lung CT, QIN LUNG CT) and share their SeriesInstanceUID s. Dedup before combining with those sets —…
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