Data Descriptor: The public cancer radiology imaging collections of The Cancer Imaging Archive

被引:80
|
作者
Prior, Fred [1 ]
Smith, Kirk [1 ]
Sharma, Ashish [2 ]
Kirby, Justin [3 ]
Tarbox, Lawrence [1 ]
Clark, Ken [4 ]
Bennett, William [1 ]
Nolan, Tracy [1 ]
Freymann, John [3 ]
机构
[1] Univ Arkansas Med Sci, Little Rock, AR 72205 USA
[2] Emory Univ, Atlanta, GA 30322 USA
[3] Leidos Biomed Res Inc, Frederick Natl Lab Canc Res, Frederick, MD 20892 USA
[4] Washington Univ, Sch Med, St Louis, MO 63110 USA
基金
美国国家卫生研究院;
关键词
TUMOR CHANGE MEASUREMENT; TRUTH DATA; CT SCANS; LUNG-CANCER; THERAPY; RESOURCE; ERROR; REPRODUCIBILITY; COLONOGRAPHY; VARIABILITY;
D O I
10.1038/sdata.2017.124
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The Cancer Imaging Archive (TCIA) is the U.S. National Cancer Institute's repository for cancer imaging and related information. TCIA contains 30.9 million radiology images representing data collected from approximately 37,568 subjects. This data is organized into collections by tumor-type with many collections also including analytic results or clinical data. TCIA staff carefully de-identify and curate all incoming collections prior to making the information available via web browser or programmatic interfaces. Each published collection within TCIA is assigned a Digital Object Identifier that references the collection. Additionally, researchers who use TCIA data may publish the subset of information used in their analysis by requesting a TCIA generated Digital Object Identifier. This data descriptor is a review of a selected subset of existing publicly available TCIA collections. It outlines the curation and publication methods employed by TCIA and makes available 15 collections of cancer imaging data.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] The public cancer radiology imaging collections of The Cancer Imaging Archive
    Fred Prior
    Kirk Smith
    Ashish Sharma
    Justin Kirby
    Lawrence Tarbox
    Ken Clark
    William Bennett
    Tracy Nolan
    John Freymann
    Scientific Data, 4
  • [2] The Cancer Imaging Archive: An open science data resource.
    Prior, Fred
    Smith, Kirk
    INTERNATIONAL JOURNAL OF PALEOPATHOLOGY, 2024, 46 : 25 - 25
  • [3] The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
    Clark, Kenneth
    Vendt, Bruce
    Smith, Kirk
    Freymann, John
    Kirby, Justin
    Koppel, Paul
    Moore, Stephen
    Phillips, Stanley
    Maffitt, David
    Pringle, Michael
    Tarbox, Lawrence
    Prior, Fred
    JOURNAL OF DIGITAL IMAGING, 2013, 26 (06) : 1045 - 1057
  • [4] The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
    Kenneth Clark
    Bruce Vendt
    Kirk Smith
    John Freymann
    Justin Kirby
    Paul Koppel
    Stephen Moore
    Stanley Phillips
    David Maffitt
    Michael Pringle
    Lawrence Tarbox
    Fred Prior
    Journal of Digital Imaging, 2013, 26 : 1045 - 1057
  • [5] Quantitative Imaging Network: Data Sharing and Competitive Algorithm Validation Leveraging The Cancer Imaging Archive
    Kalpathy-Cramer, Jayashree
    Freymann, John Blake
    Kirby, Justin Stephen
    Kinahan, Paul Eugene
    Prior, Fred William
    TRANSLATIONAL ONCOLOGY, 2014, 7 (01): : 147 - 152
  • [6] Imaging and Interventional Radiology for Cancer Management
    Pomerantz, Benjamin J.
    SURGICAL CLINICS OF NORTH AMERICA, 2020, 100 (03) : 499 - 506
  • [7] The Cancer Imaging Archive: Supporting Radiomic and Imaging Genomic Research with Open-Access Data Sets
    Kirby, J.
    Tarbox, L.
    Freymann, J.
    Jaffe, C.
    Prior, F.
    MEDICAL PHYSICS, 2015, 42 (06) : 3587 - 3587
  • [8] Disparities in the Demographic Composition of The Cancer Imaging Archive
    Dulaney, Aidan
    Virostko, John
    RADIOLOGY-IMAGING CANCER, 2024, 6 (01):
  • [9] Introduction to Special Issue of Radiology and Imaging of Cancer
    Fusco, Roberta
    Granata, Vincenza
    Petrillo, Antonella
    CANCERS, 2020, 12 (09)
  • [10] Radiology: Imaging Cancer: Now Indexed in MEDLINE!
    Luker, Gary D.
    RADIOLOGY-IMAGING CANCER, 2021, 3 (03):