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A Data Analysis Center (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.

ResourceDescriptionFunctionalityTCIA Data AccessPlatform
3D Slicer3D 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. Visualization and AnalysisAPIWindows, Mac OS X, Linux
BitToriousBitTorious is a holistic solution to collaborative, private data transfer for organizations needing to share epic payloads across the Internet in a cost-scalable, manageable, automated, and easy-to-use platform. Select TCIA collections are being mirrored on BitTorious at https://tcia.bittorious.com/.  Data AccessMirroredWeb application
Open Source Community Code ShareIf you've developed open source code you'd like to share with the community you can use Github's topic feature to make it discoverable by tagging it with "tcia-dac". Please note these tools are not directly supported by TCIA or its helpdesk.Data access, Visualization, and AnalysisAPI / MirroredMiscellaneous
DataScopeA beta implementation of a browser-based data exploration and visualization tool.  It currently combines radiology, pathology, genomic, and clinical data types using TCGA-BRCA data.VisualizationAPI / MirroredWeb application
ePADePAD 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.Visualization and AnalysisAPIWeb application
ePAD for TCGAThis deployment of ePAD contains TCGA collections with corresponding radiologist annotations and 2D markup developed through the CIP TCGA Radiology Initiative.  Please contact the TCIA Helpdesk to request access to this system.Visualization and AnalysisAPI / MirroredWeb application
G-DOC PlusThe Georgetown Database of Cancer Plus other diseases (G-DOC Plus) is a precision medicine platform containing molecular and clinical data from thousands of patients and cell lines, along with tools for analysis and data visualization. It contains mirrored data from the BREAST-DIAGNOSIS collection.Visualization and AnalysisMirroredWeb application
QIN LabsA 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.AnalysisAPIWeb application

 

 

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