TCIA now supports the concept of Data Analysis Centers (DACs). A DAC is a tool or website which provides additional capabilities for downloading, visualizing or analyzing TCIA data by connecting to our TCIA Programmatic Interface (REST API) or by mirroring our Collections. If you have developed something which might qualify as a DAC please contact the helpdesk to request that it be added to this page.
DataScope (coming soon)
A browser-based data exploration and visualization tool which combines radiology, pathology, genomic, and clinical data types.
ePAD is a freely available quantitative imaging informatics platform, developed by the Rubin Lab at Stanford Medicine Radiology at Stanford University. Its built-in connection to our REST API allows TCIA data to be seemlessly imported into ePAD for analysis.
ePAD for The Cancer Genome Atlas Collections (coming soon)
This deployment of ePAD contains several of the TCGA collections along with corresponding radiologist annotations and markup. Please contact the TCIA Helpdesk to request access to this system.
A challenge management system powered by CodaLab and ePad which is being leveraged by the Quantitative Imaging Network to conduct image analysis competitions using TCIA data.
3D Slicer (http://slicer.org) is a free and open source platform for medical image visualization and quantitative analysis. The TCIA Browser extension of 3D Slicer enables integration of the versatile visualization and computing tools of 3D Slicer with unique data resources of TCIA. Among other capabilities, 3D Slicer enables 2-, 3-, and 4-d visualization tools, DICOM interoperability for both images and image annotations, radiomics feature calculation, multi-modality fusion and deformable registration, a collection of segmentation tools, Matlab and python interface, and integration of such libraries as ITK, VTK, DCMTK and numpy.