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Protocols

TCIA specifications

Information


Unique identifier OMICS_10659
Name TCIA
Alternative name The Cancer Imaging Archive
Restrictions to use None
Community driven No
Data access Browse, Application programming interface
User data submission Allowed
Content license Other
Maintained Yes
Wikipedia https://en.wikipedia.org/wiki/The_Cancer_Imaging_Archive_%28TCIA%29

Documentation


Maintainers


  • person_outline Kenneth Clark
  • person_outline Fred Prior
  • person_outline TCIA Team

Publications for The Cancer Imaging Archive

TCIA citations

 (17)
library_books

DNA double strand break repair pathway regulates PD L1 expression in cancer cells

2017
Nat Commun
PMCID: 5701012
PMID: 29170499
DOI: 10.1038/s41467-017-01883-9

[…] tion status data provided by The Cancer Genome Atlas (TCGA) project were downloaded from the Genomic Data Commons Data Portal. The neoantigen data were obtained from The Cancer Immunome Atlas (http://tcia.at/). The studies for analysis were chosen based on the following two conditions: the number of cases with wild-type PD-L1 (total N) was more than 300 and the number of cases with mutations in ea […]

library_books

A Comprehensive Infrastructure for Big Data in Cancer Research: Accelerating Cancer Research and Precision Medicine

2017
PMCID: 5613113
PMID: 28983483
DOI: 10.3389/fcell.2017.00083

[…] o create cohorts of interest and download data “just-in-time” to a FireCloud-based workspace for follow on analyses. Similar approaches are under development to support the analysis of CPTAC data and TCIA images. Researchers at the Broad Institute, in collaboration with IBM Watson, are using FireCloud to tackle one of precision oncology's toughest questions—which genomic signatures are linked to d […]

library_books

Comparison of novel multi level Otsu (MO PET) and conventional PET segmentation methods for measuring FDG metabolic tumor volume in patients with soft tissue sarcoma

2017
EJNMMI Phys
PMCID: 5603470
PMID: 28921170
DOI: 10.1186/s40658-017-0189-0

[…] d volume, the tumor contours defined on the MRI were used. The MR contours, which were previously manually drawn on T2-weighted fat-suppression (T2FS) scans by Villiers et al., were obtained from the TCIA database [, ]. The gross MR-based tumor volume (GTV) was measured on the MR images with Mirada RTx using obtained MR contours. MTV was also measured with PET Edge™ (MIM software Inc., Cleveland, […]

library_books

Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features

2017
Sci Data
PMCID: 5685212
PMID: 28872634
DOI: 10.1038/sdata.2017.117

[…] or the initialization of GLISTRboost,, 2) apply the de-noising approach (SUSAN) used for smoothing images before their input to GLISTRboost, as well as 3) to extract the radiomic features released in TCIA [Data Citation 3 and Data Citation 4]. The exact version used for initializing the required seed-points in this study was released on the 14th of October 2016 and the code source, as well as exec […]

library_books

Revealing cancer subtypes with higher order correlations applied to imaging and omics data

2017
BMC Med Genomics
PMCID: 5374737
PMID: 28359308
DOI: 10.1186/s12920-017-0256-3

[…] voxel (3-dimensional pixel) data from the TCGA collection of 184 patients with first- and higher-order metrics to find community structures. MRI data are part of the TCGA GBM cohort, downloaded from the Cancer Imaging Archive and processed by Stanford University as described in Liu et al. []. To reduce noise and the size of the MR images, we first preprocessed the data by filtering to a set of in […]

library_books

GIFT Cloud: A data sharing and collaboration platform for medical imaging research

2017
Comput Methods Programs Biomed
PMCID: 5312116
PMID: 28187889
DOI: 10.1016/j.cmpb.2016.11.004

[…] ve mode.Research institutions are increasingly using server-based data management systems to facilitate data sharing. Established research systems include XNAT , CTP , HID , COINS , LORIS , BIRN and TCIA . While mostly focussed on specific research areas and particular workflows, these systems often have more general extensibility. For example, XNAT was developed for neuroimaging research but is […]

Citations

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TCIA institution(s)
University of Arkansas for Medical Sciences, Little Rock, AR, USA; Emory University, Atlanta, GA, USA; Leidos Biomedical Research Inc. Frederick National Laboratory for Cancer Research, Frederick, MD, USA; Washington University School of Medicine, St Louis, MO, USA
TCIA funding source(s)
Supported by federal funds from the National Cancer Institute, National Institutes of Health, under Contract No. HHSN261200800001E.

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