Open-Access Medical Image Repositories
If you would like to add a database to this list or if you find a broken link, please email <firstname.lastname@example.org>.
Sites that list and/or host multiple collections of data:
Images, associated clinical data, annotations, and diagnoses
Formerly the National Biomedical Imaging Archive (NBIA):
Lung Image Database Consortium (LIDC)
Reference Image Database to Evaluate Response (RIDER)
Osteoarthritis Initiative (MIA)
PET/CT phantom scan collection
A free online Medical Image Database with over 59,000 indexed and curated images, from over 12,000 patients
Image Based Medical Reference: "Find Algorithms, Decision Aids, Checklists, Guidelines, Differentials, Point of Care Ultrasound (POCUS), Physical Exam clips and more"
Cross-sectional MRI Data in Young, Middle Aged, Nondemented and Demented Older Adults
Longitudinal MRI Data in Nondemented and Demented Older Adults
Alzheimer’s Disease Neuroimaging Initiative (ADNI) unites researchers with study data as they work to define the progression of Alzheimer’s disease. ADNI researchers collect, validate and utilize data such as MRI and PET images, genetics, cognitive tests, CSF and blood biomarkers as predictors for the disease.
The Federal Interagency Traumatic Brain Injury Research (FITBIR) informatics system: MRI, PET, Contrast, and other data on a range of TBI conditions
STructured Analysis of the Retina: This research concerns a system to automatically diagnose diseases of the human eye.
Whole-slide images from The Cancer Genome Atlas's (TCGA) glioblastoma multiforme (GBM) samples
The image data in The Cancer Imaging Archive (TCIA) is organized into purpose-built collections of subjects. The subjects typically have a cancer type and/or anatomical site (lung, brain, etc.) in common.
Post mortem CT of 50 subjects
CT, microCT, segmentation, and models of Cochlea
Copies of select challenge data (e.g., BRATS2015)
DTI Atlases: adults, children, ...
Small animal MRI, CT, ...
Lupus white matter lesions
Brain MRI: 2-4 years old
Liver tumors with segmentations
Age and gender balanced collection
MRA, T1, T2, and some DTI
Intracranial vessels extracted from select patients.
The father of internet data archives for all forms of machine learning.
Mix of X-ray, CT, and MRI of chest, hands, etc.
60,000 deidentified health data records
Large listing of multiple databases in computer vision and biomedical imaging
Provides a list of available databases, many of which are also listed here.
Medical Image Databases & Libraries
Large collection with normal and abnormal findings and ground truth.
Digital images and expert segmentations of retinal vessels.
Digital Chest X-ray images with lung nodule locations, ground truth, and controls.
Digital Chest X-ray images with segmentations of lung fields, heart, and clavicles.
Well documented chest CT images.
Mammographic images and markup.
Digital retinal images for detecting and quantifying diabetic retinopathy.
SpineWeb is an online collaborative platform for everyone interested in research on spinal imaging and image analysis.
MR data of Hips, knees and other sites affected by osteoarthritis
3D craniofacial surface measurements
For example, from UNC see https://www.synapse.org/#!Synapse:syn4152456
Collection of files intended for 3D printing, but includes volumetric medical scans (i.e., CT and MRI in NRRD format) for a variety of anatomic structures (bones, muscles, vessels).
For example, see
Data for registration method development and evaluation:
Simulated and phantom data available for public use:
Data from computer-aided diagnosis (CAD) competitions (some are available for public use):
Commercial grand challenges
Portal for 100's of grand challenges in medical imaging:
Most run by academia and featured at international conferences
CAUSE07: Segment the caudate nucleus from brain MRI.
BIOCHANGE 2008 PILOT: Measure changes.
MS lesion segmentation challenge 08 Segment brain lesions from MRI.
Liver Tumor Segmentation 08 Segment liver lesions from contrast enhanced CT.
EXACT09: Extract airways from CT data.
ANODE09: Detect lung lesions from CT.
VOLCANO09: Quantify changes in pulmonary nodules.
Coronary Artery Algorithm Evaluation Framework: Extract coronary artery centerlines from CTA data.
ROC-Retinopathy Online Challenge: Detect microaneurysms for diabetic retinopathy screening.
Portal for grand challenges in machine learning from Microsoft
RSNA AI Challenges
2017: Pediatric bone age
2019: Intracranial hemorrhage
Illustrations of Anatomy and Diseases:
Free Human Anatomy Images and Pictures