Imaging data sets (artificial intelligence)

The aggregation of an imaging data set is a critical step in building artificial intelligence (AI) for radiology. Imaging data sets are used in various ways including training and/or testing algorithms. Many data sets for building convolutional neural networks for image identification involve at least thousands of images but smaller data sets are useful for texture analysis, transfer learning, and other programs. 

External links

Many commercial AI products are built on proprietary data sets or specific hospital data sets not available due to concerns over patient privacy. There are however several imaging data sets of radiological images and/or reports publicly available at the following websites:

• 1000 Functional Connectomes Project: over 1000 functional MRI exams collected from sites across the globe

• ACR Data Science: list of ~20 data sets

• CANDID-PTX dataset: 19,237 chest X-ray Dicom images with segmentation labels for pneumothorax, rib fractures, and chest tubes and corresponding free text reports from New Zealand. 

• CheXpert: 224,316 chest radiographs

• Computed Tomography Emphysema Database small images specifically for texture analysis

• COVID-19 Open Annotated Radiology Database (RICORD) expert annotated COVID-19 imaging dataset. 1000 chest x-rays and 240 thoracic CT exams

• Johns Hopkins University Data Archive contains a data set of head CT scans

• The Medical Image Bank of Valencia

• MD.ai: a collection of public projects

• NIH CXR8: 112,120 frontal chest radiographs

• OpenI - The Open Access Biomedical Image Search Engine: data sets search engine with application programmer interface (API) to create customized data sets available at MedPix

• OpenNeuro: list of over 200 neuro data sets

• OASIS: open access neuro data sets

• Spineweb 16 spinal imaging data sets

• UCLH Stroke EIT Dataset

• MRNet: 1,370 annotated knee MRI examinations

• MURA: a large dataset of musculoskeletal radiographs

• MIMIC-CXR Database: 377,110 chest radiographs with free-text radiology reports

• PADCHEST: 160,000 chest X-rays with multiple labels on images

• RSNA Pulmonary Embolism CT (RSPECT) dataset 12,000 CT studies

• RSNA 2019 Brain CT Hemorrhage dataset: 25,312 CT studies

• TB Portals

• UC Irvine Machine Learning Repository: various radiological and nuclear medicine data sets among other types of data sets

• York Cardiac MRI Dataset : cardiac MRIs

• The Visible Human Project Dataset: CT, MRI and cryosectional images of complete cadavers

• Zenodo searchable projects

Additionally, The Cancer Imaging Archive contains links to many open radiology data sets including the following:

• 4D-Lung

• ACRIN-FLT-Breast

• ACRIN-FLT-Breast

• ACRIN-FMISO-Brain

• ACRIN-NSCLC-FDG-PET

• Anti-PD-1 Immunotherapy Lung (Anti-PD-1_Lung)

• Anti-PD-1 Immunotherapy Melanoma (Anti-PD-1_MELANOMA)

• APOLLO-1-VA

• APOLLO-5-ESCA

• Brain-Tumor-Progression

• BREAST-DIAGNOSIS

• Breast-MRI-NACT-Pilot

• CBIS-DDSM

• CPTAC-AML

• CPTAC-CCRCC

• CPTAC-CM

• CPTAC-GBM

• CPTAC-HNSCC

• CPTAC-LSCC

• CPTAC-LUAD

• CPTAC-PDA

• CPTAC-SAR

• CPTAC-UCEC

• Credence Cartridge Radiomics Phantom CT Scans

• Credence Cartridge Radiomics Phantom CT Scans with Controlled Scanning Approach (CC-Radiomics-Phantom-2)

• CT COLONOGRAPHY

• CT Lymph Nodes

• Head-and-neck squamous cell carcinoma patients with CT taken during pre-treatment, mid-treatment, and post-treatment (HNSCC-3DCT-RT)

• Head-Neck Cetuximab

• Head-Neck-PET-CT

• ISPY1

• Ivy GAP

• LGG-1p19qDeletion

• LIDC-IDRI

• LungCT-Diagnosis

• Lung CT Segmentation Challenge 2017

• Lung Phantom

• Mouse-Astrocytoma

• Mouse-Mammary

• NaF Prostate

• NRG-1308

• NSCLC-Cetuximab

• NSCLC Radiogenomics

• NSCLC-Radiomics

• NSCLC-Radiomics-Genomics

• Osteosarcoma data from UT Southwestern/UT Dallas for Viable and Necrotic Tumor Assessment

• Pancreas-CT

• Phantom FDA

• Prostate-3T

• PROSTATE-DIAGNOSIS

• Prostate Fused-MRI-Pathology

• PROSTATE-MRI

• QIBA CT-1C

• QIN-BRAIN-DSC-MRI

• QIN-Breast

• QIN Breast DCE-MRI

• QIN GBM Treatment Response

• QIN-HEADNECK

• QIN LUNG CT

• QIN PET Phantom

• QIN PROSTATE

• QIN-PROSTATE-Repeatability

• QIN-SARCOMA

• Quantitative Imaging Network Collections

• REMBRANDT

• RIDER Breast MRI

• RIDER Collections

• RIDER Lung CT

• RIDER Lung PET-CT

• RIDER NEURO MRI

• RIDER PHANTOM MRI

• RIDER Phantom PET-CT

• Soft-tissue-Sarcoma

• SPIE-AAPM Lung CT Challenge

• SPIE-AAPM-NCI PROSTATEx Challenges

• Synthetic and Phantom MR Images for Determining Deformable Image Registration Accuracy (MRI-DIR)

• The Cancer Genome Atlas Breast Invasive Carcinoma Collection (TCGA-BRCA)

• The Cancer Genome Atlas Cervical Kidney Renal Papillary Cell Carcinoma Collection (TCGA-KIRP)

• The Cancer Genome Atlas Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma Collection (TCGA-CESC)

• The Cancer Genome Atlas Collections

• The Cancer Genome Atlas Colon Adenocarcinoma Collection (TCGA-COAD)

• The Cancer Genome Atlas Esophageal Carcinoma Collection (TCGA-ESCA)

• The Cancer Genome Atlas Glioblastoma Multiforme Collection (TCGA-GBM)

• The Cancer Genome Atlas Head-Neck Squamous Cell Carcinoma Collection (TCGA-HNSC)

• The Cancer Genome Atlas Kidney Chromophobe Collection (TCGA-KICH)

• The Cancer Genome Atlas Kidney Renal Clear Cell Carcinoma Collection (TCGA-KIRC)

• The Cancer Genome Atlas Liver Hepatocellular Carcinoma Collection (TCGA-LIHC)

• The Cancer Genome Atlas Low Grade Glioma Collection (TCGA-LGG)

• The Cancer Genome Atlas Lung Adenocarcinoma Collection (TCGA-LUAD)

• The Cancer Genome Atlas Lung Squamous Cell Carcinoma Collection (TCGA-LUSC)

• The Cancer Genome Atlas Ovarian Cancer Collection (TCGA-OV)

• The Cancer Genome Atlas Prostate Adenocarcinoma Collection (TCGA-PRAD)

• The Cancer Genome Atlas Rectum Adenocarcinoma Collection (TCGA-READ)

• The Cancer Genome Atlas Sarcoma Collection (TCGA-SARC)

• The Cancer Genome Atlas Stomach Adenocarcinoma Collection (TCGA-STAD)

• The Cancer Genome Atlas Thyroid Cancer Collection (TCGA-THCA)

• The Cancer Genome Atlas Urothelial Bladder Carcinoma Collection (TCGA-BLCA)

• The Cancer Genome Atlas Uterine Corpus Endometrial Carcinoma Collection (TCGA-UCEC)

If any of these links are broken or for other problems and questions, please contact [email protected].