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PROSTATE-3T - The Cancer Imaging Archive (TCIA)
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PROSTATE-3T


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The Cancer Imaging Archive

Prostate-3T | Prostate-3T

DOI: 10.7937/K9/TCIA.2015.QJTV5IL5 | Data Citation Required | Image Collection

Location Species Subjects Data Types Cancer Types Size Supporting Data Status Updated
Prostate Human 64 MR Prostate Cancer 269.34MB Image Analyses Public, Complete 2013/05/31

Summary

Prostate transversal T2-weighted magnetic resonance images (MRIs) acquired on a 3.0T Siemens TrioTim using only a pelvic phased-array coil were acquired for prostate cancer detection. The data was provided to TCIA as part of an ISBI challenge competition in 2013.

Data Access

Version 1: Updated 2013/05/31

Downloads require the NBIA Data Retriever.

Title Data Type Format Access Points Subjects Studies Series Images License
Images MR DICOM
Download requires NBIA Data Retriever
59 59 59 1,161 CC BY 3.0
Seminal vesicles (SV) and neurovascular bundle (NVB) Segmentations MHA and ZIP CC BY 3.0
NCI ISBI Challenge - Segmentations of central gland and the peripheral zone NRRD and ZIP CC BY 3.0
Analysis Results Using This Collection
Related Datasets
ISBI-MR-Prostate-2013
No related Collections found
Legend: Analysis Results| Collections

Additional Resources for this Dataset

The NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data.

  • Imaging Data Commons (IDC) (Imaging Data)
  • Citations & Data Usage Policy

    Data Citation Required: Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution must include the following citation, including the Digital Object Identifier:

    Data Citation

    Litjens, Geert, Futterer, Jurgen, & Huisman, Henkjan. (2015). Data From Prostate-3T. The Cancer Imaging Archive. DOI: 10.7937/K9/TCIA.2015.QJTV5IL5

    Detailed Description

    Metadata

    On some cases in this collection segmentations are available. The segmentations were constructed using MeVisLab (http://www.mevislab.de).

    Related Publications

    Publications by the Dataset Authors

    The authors recommended this paper as the best source of additional information about this dataset:

    No publications by dataset authors were found.

    Research Community Publications

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    Analysis Results Using this Collection

    TCIA encourages the community to publish your analyses of our datasets. Below is a list of such third party analyses published using this Collection: