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The Cancer Imaging Archive (TCIA)

Latest TCIA News

Sep 11
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Meet the TCIA Dataset Explorer: A Smarter Way to Search Medical Imaging Datasets 

By Michelle Tacconelli News
The Cancer Imaging Archive (TCIA) has long been a cornerstone…
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Sep 08
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Connecting Cancer Imaging and Genomics with New GDC–IDC Viewer Tools

By Michelle Tacconelli News
Cancer researchers increasingly need to explore imaging, genomic, and other…
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Aug 05
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TCIA Proposal Submission Deadline: August 28, 2026

By Michelle Tacconelli News
The Cancer Imaging Archive (TCIA) curates and publishes freely available…
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Jul 29
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Advancing Cancer Care with AI: Inside the Foundation Models for Pan-cancer Segmentation Challenge

By Michelle Tacconelli News
Artificial intelligence (AI) is transforming cancer care, and one of…
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Jul 01
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New Dataset: CPTAC-STAD  

By Michelle Tacconelli News
The Cancer Imaging Archive (TCIA) has recently published the Clinical Proteomic Tumor…
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Jun 09
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Reproducibility in Science Symposium

By Michelle Tacconelli News
Panel Spotlight: AI Reproducibility, Transparency, and Trust  The “AI Science Standards” panel…
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May 27
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New Dataset Release: The UC San Diego Longitudinal Vestibular Schwannoma Dataset

By Michelle Tacconelli News
The Cancer Imaging Archive (TCIA) is excited to announce the…
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May 20
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New Dataset on TCIA: Segmentation of Spinal Multiple Myeloma Lesions in Dual-Energy CT Collection  

By Michelle Tacconelli News
While significant advancements have been made in applying artificial intelligence…
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Apr 28
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Evolving The Cancer Imaging Archive: A New Hybrid Infrastructure for Open Science

By Michelle Tacconelli News
We’re upgrading our architecture to comply with new NIH policies…
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Mar 18
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New Dataset on TCIA: The HANCOCK Collection

By Michelle Tacconelli News
Multimodal data is increasingly essential for advancing research in artificial…
Read More
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Recent Posts

  • Meet the TCIA Dataset Explorer: A Smarter Way to Search Medical Imaging Datasets 
  • Connecting Cancer Imaging and Genomics with New GDC–IDC Viewer Tools
  • TCIA Proposal Submission Deadline: August 28, 2026
  • Advancing Cancer Care with AI: Inside the Foundation Models for Pan-cancer Segmentation Challenge
  • New Dataset: CPTAC-STAD  

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About the Cancer Imaging Archive (TCIA)

TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. The data are organized as “collections”; typically patients’ imaging related by a common disease (e.g. lung cancer), image modality or type (MRI, CT, digital histopathology, etc) or research focus. DICOM is the primary file format used by TCIA for radiology imaging. Supporting data related to the images such as patient outcomes, treatment details, genomics and expert analyses are also provided when available.

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About the Cancer Imaging Program (CIP)

The Cancer Imaging Program (CIP) is a part of the Division of Cancer Treatment and Diagnosis (DCTD) of the National Cancer Institute. For complete information about the Cancer Imaging Program, please see the Cancer Imaging Program Website.

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Hosting TCIA at UAMS

In October 2015 Dr. Prior and the core TCIA team relocated from Washington University to the Department of Biomedical Informatics at the University of Arkansas for Medical Sciences.  The archive continues provides high quality, high value image collections to cancer researchers around the world.

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About FNLCR

The Frederick National Laboratory for Cancer Research (FNLCR) is a Federally Funded Research and Development Center dedicated to the application of biomedical science and technology to improve human health. FNLCR scientists conduct basic, translational and applied research, create new technologies, and collaborate with government, industry and academic colleagues to support the National Cancer Institute and other Institutes of the National Institutes of Health.

Read more…

© 2026 The Cancer Imaging Archive (TCIA). TCIA Site License. Data Usage License & Citation Requirements.
TCIA ISSN: 2474-4638

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Close Menu
  • Submit Your Data
    • New TCIA Dataset
    • Analyses of Existing TCIA Datasets
    • Submission and De-identification Overview
  • Access The Data
    • Data Portals Dashboard
    • Data Usage Policies and Restrictions
    • Dataset Explorer
    • API
    • TCIA Data Analysis Center
    • Data Usage Statistics
  • Help
    • Help Desk
    • User Guides
    • FAQs
  • About Us
    • About The Cancer Imaging Archive (TCIA)
    • About the Cancer Imaging Program (CIP)
    • About the University of Arkansas for Medical Sciences (UAMS)
    • About Frederick National Laboratory for Cancer Research (FNLCR)
  • Research Activities
    • Publications Based on TCIA
    • Imaging Omics
    • Imaging Clinical Trials
    • Challenge Competitions
    • COVID-19
    • Annotated Data for AI/ML
    • Pediatric Data Collections and Analysis
  • News
  • vimeo
  • email