Research Dataset Library

Full-body CT scan with 117 anatomical structure labels. The standard benchmark for multi-organ segmentation.

1018 thoracic CT scans with annotated lung nodules. Reference dataset for pulmonary imaging AI.

Multi-modal brain MRI atlas with 84 labeled anatomical regions. T1, T2, and PD-weighted templates.

Combined Healthy Abdominal Organ Segmentation dataset. Liver, kidneys, spleen from CT and MRI.

Brain tumor segmentation (BraTS) with native, edema, enhancing labels. 484 multi-modal MRI volumes.

Liver and tumor segmentation from contrast-enhanced CT. 201 training volumes.

Left atrial segmentation from single-modality MRI. 30 training volumes.

Prostate and transition zone segmentation from multimodal MRI. 48 training volumes.

Pancreas and tumor segmentation from contrast-enhanced CT. 420 training volumes.

Colon cancer segmentation from CT. 190 training volumes.

Hippocampal segmentation from MRI. 394 training volumes for Alzheimer's research.

Spleen segmentation from contrast-enhanced CT. 61 training volumes.

Nearly 600 normal brain MRIs from 3 hospitals. T1, T2, PD, MRA, diffusion-weighted.

140 CT volumes with 6 organ labels: liver, kidneys, spleen, bladder, lungs, heart.

MRI scans of 242 vestibular schwannoma patients with tumor segmentations.

Sample DICOM studies for testing PACS connectivity and DICOM processing pipelines.