datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
LUNA16
LUNA16
A mirror of the LUNA16 (LUng Nodule Analysis 2016) challenge data — 888 thoracic
LDCT scans derived from LIDC-IDRI — repackaged for use in the EasyMedSeg
medical segmentation framework.
Contents
subset0/ … subset9/ — 888 CT scans in MetaImage format (.mhd + .raw)
seg-lungs-LUNA16/ — official lung-field masks (.mhd + .zraw)
nodule-masks-spheres/ — derived nodule masks built from annotations.csv
by drawing a sphere of diameter_mm at each nodule centroid.… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/LUNA16.LUNA16_RAWLUNA16_preprocessedluna16-dp2d
LUNA16-DiagnosticPreservation-2D (LUNA16-DP2D)
Dataset for Anatomical Attention-Based Medical Image Compression
Dataset Description
LUNA16-DP2D is a curated 2D axial CT slice dataset derived from the complete
LUNA16 challenge (888 scans, subsets 0–9).
It is designed for research on diagnostic-preservation image compression —
systems that allocate more bits to anatomically important regions (lungs, mediastinum,
nodules) rather than optimizing purely for perceptual… See the full description on the dataset page: https://huggingface.co/datasets/nourbourai/luna16-dp2d.Luna16processedLUNA16
LUNA16
A mirror of the LUNA16 (LUng Nodule Analysis 2016) challenge data — 888 thoracic
LDCT scans derived from LIDC-IDRI — repackaged for use in the EasyMedSeg
medical segmentation framework.
Contents
subset0/ … subset9/ — 888 CT scans in MetaImage format (.mhd + .raw)
seg-lungs-LUNA16/ — official lung-field masks (.mhd + .zraw)
nodule-masks-spheres/ — derived nodule masks built from annotations.csv
by drawing a sphere of diameter_mm at each nodule centroid.… See the full description on the dataset page: https://huggingface.co/datasets/chungchi1278/LUNA16.LUNA16_segmentation_data
Dataset Card for LUNA16 Segmentation Dataset
This dataset contains CT image slices retrieved from the LUNA16 challenge, which focuses on the automatic detection of lung nodules in CT scans.
The dataset is organized into two main folders: ct/ and mask/.
The ct/ folder contains the CT scna images, while the mask/ folder contains the corresponding segmentation masks.
Each CT scan and mask are linked through a metadata.jsonl file, which provides metadata for each pair.
reconstruction2_unetv2_luna16Luna16s39LUNA16_preprocessedLuna16s0456LUNA16
LUNA16
Curated release of LUNA16 public lung CT nodule analysis data for research use.
Dataset viewer (Hugging Face)
The Dataset viewer loads data/train-00000-of-00001.parquet: an index of subject_id and ct_path for each case. NIfTI is not previewed in-browser; fetch volumes via Files.
An empty root metadata.csv was removed because it broke the Hub loader; the index is rebuilt from file paths.
OpenVAE / SMILE project
This dataset is published alongside the… See the full description on the dataset page: https://huggingface.co/datasets/MitakaKuma/LUNA16.Luna16processed-correctedLuna16s1278luna16-10-percentmodel2_luna_val_luna16LUNA16_subsetsLUNA16_val_unetLUNA16_validationluna16-10-percent-segmentation-masksLUNA16_mbr_validationLUNA16_VALIDATION_UNETreconstruction_unetv2_luna16LUNA16_validationLUNA16_mask_validationLUNA16_mask_validationLUNA16_singadkar_validationLUNA16_validation_unet2dProyecto-analitica2-Luna16