Mediastinal Lymph Node SEG (LNQ 2023) Mediastinal lymph node quantification dataset from the LNQ 2023 challenge: 513 chest CT scans with manual radiologist segmentations of mediastinal lymph nodes, distributed under two annotation regimes — partial (weakly supervised) for training, and full (gold standard) for evaluation. Dataset Details Field Value Modality CT (chest) Body part Mediastinum (chest), lymph nodes Task 3D binary segmentation (foreground = mediastinal lymph nodes) Patients 513 (274 F / 239 M) CT series 513 SEG series 513 (one per patient) Annotation regimes "Partially Annotated" (393) + "Fully Annotated" (120) Images ~66,400 CT DICOM slices + 513 DICOM SEG objects Format DICOM (images) + DICOM SEG (segmentations) License CC BY 4.0 Annotation Regimes The collection contains two distinct mask regimes, both produced in 3D Slicer 4.11 by trained radiologists with axial delineation and sagittal/coronal review. The regime is stored on the SEG SOP as SeriesDescription : 1. Partially Annotated (393 cases) — only the clinically tracked target lymph node(s) per scan are delineated, following clinical trial bidimensional measurement protocols. The selected lesion(s) may not be th…
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