The image data in The Cancer Imaging Archive (TCIA) is organized into purpose-built collections. A collection typically includes studies from several subjects (patients). In some collections, there may be only one study per subject. In other collections, subjects may have been followed over time, in which case there will be multiple studies per subject. The subjects typically have a disease and/or particular anatomical site (lung, brain, etc.) in common.
Please visit our home page for more information about our Collections or click on one from the list below:
- 4D-Lung
- AAPM RT-MAC Grand Challenge 2019
- ACRIN-DSC-MR-Brain
- 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
- APOLLO2
- A Single-cell Morphological Dataset of Leukocytes from AML Patients and Non-malignant Controls (AML-Cytomorphology_LMU)
- Assessment of Residual Breast Cancer Cellularity after Neoadjuvant Chemotherapy using Digital Pathology (Post-NAT-BRCA)
- Brain-Tumor-Progression
- BREAST-DIAGNOSIS
- Breast Metastases to Axillary Lymph Nodes
- Breast-MRI-NACT-Pilot
- C_NMC_2019 Dataset: ALL Challenge dataset of ISBI 2019
- 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
- CT-ORG: CT volumes with multiple organ segmentations
- CT Phantom Scans for Head, Chest, and Controlled Protocols on 100 Scanners (CC-Radiomics-Phantom-3)
- Data from the training set of the 2019 Kidney and Kidney Tumor Segmentation Challenge (C4KC-KiTS)
- 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
- Head-Neck-Radiomics-HN1
- Imaging characterization of a metastatic patient derived model of bladder cancer: BL0293F (PDMR-BL0293-F563)
- ISPY1
- Ivy Glioblastoma Atlas Project (Ivy GAP)
- LGG-1p19qDeletion
- LIDC-IDRI
- LungCT-Diagnosis
- Lung CT Segmentation Challenge 2017
- Lung Fused-CT-Pathology
- Lung Phantom
- MiMM_SBILab Dataset: Microscopic Images of Multiple Myeloma
- Mouse-Astrocytoma
- Mouse-Mammary
- NaF Prostate
- NRG-1308
- NSCLC-Cetuximab
- NSCLC Radiogenomics
- NSCLC-Radiomics
- NSCLC-Radiomics-Genomics
- NSCLC-Radiomics-Interobserver1
- Osteosarcoma data from UT Southwestern/UT Dallas for Viable and Necrotic Tumor Assessment
- Pancreas-CT
- Pelvic Reference Data
- Phantom FDA
- Prostate-3T
- PROSTATE-DIAGNOSIS
- Prostate Fused-MRI-Pathology
- PROSTATE-MRI
- QIBA CT-1C
- QIN-BRAIN-DSC-MRI
- QIN-Breast
- QIN-BREAST-02
- 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
- SN-AM Dataset: White Blood cancer dataset of B-ALL and MM for stain normalization
- 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)
- TCGA-BLCA
- TCGA-BRCA
- TCGA-CESC
- TCGA-COAD
- TCGA-ESCA
- TCGA-GBM
- TCGA-HNSC
- TCGA-KICH
- TCGA-KIRC
- TCGA-KIRP
- TCGA-LGG
- TCGA-LIHC
- TCGA-LUAD
- TCGA-LUSC
- TCGA-OV
- TCGA-PRAD
- TCGA-READ
- TCGA-SARC
- TCGA-STAD
- TCGA-THCA
- TCGA-UCEC
- The VICTRE Trial: Open-Source, In-Silico Clinical Trial For Evaluating Digital Breast Tomosynthesis
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