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NCI Imaging Data Commons

The National Cancer Institute (NCI) Cancer Research Data Commons (CRDC) aims to establish a national cloud-based data science infrastructure. Imaging Data Commons (IDC) is a new component of CRDC supported by the Cancer Moonshot. The goal of IDC is to enable a broad spectrum of cancer researchers, w...

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Autores principales: Fedorov, Andrey, Longabaugh, William J.R., Pot, David, Clunie, David A., Pieper, Steve, Aerts, Hugo J.W.L., Homeyer, André, Lewis, Rob, Akbarzadeh, Afshin, Bontempi, Dennis, Clifford, William, Herrmann, Markus D., Höfener, Henning, Octaviano, Igor, Osborne, Chad, Paquette, Suzanne, Petts, James, Punzo, Davide, Reyes, Madelyn, Schacherer, Daniela P., Tian, Mi, White, George, Ziegler, Erik, Shmulevich, Ilya, Pihl, Todd, Wagner, Ulrike, Farahani, Keyvan, Kikinis, Ron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for Cancer Research 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8373794/
https://www.ncbi.nlm.nih.gov/pubmed/34185678
http://dx.doi.org/10.1158/0008-5472.CAN-21-0950
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author Fedorov, Andrey
Longabaugh, William J.R.
Pot, David
Clunie, David A.
Pieper, Steve
Aerts, Hugo J.W.L.
Homeyer, André
Lewis, Rob
Akbarzadeh, Afshin
Bontempi, Dennis
Clifford, William
Herrmann, Markus D.
Höfener, Henning
Octaviano, Igor
Osborne, Chad
Paquette, Suzanne
Petts, James
Punzo, Davide
Reyes, Madelyn
Schacherer, Daniela P.
Tian, Mi
White, George
Ziegler, Erik
Shmulevich, Ilya
Pihl, Todd
Wagner, Ulrike
Farahani, Keyvan
Kikinis, Ron
author_facet Fedorov, Andrey
Longabaugh, William J.R.
Pot, David
Clunie, David A.
Pieper, Steve
Aerts, Hugo J.W.L.
Homeyer, André
Lewis, Rob
Akbarzadeh, Afshin
Bontempi, Dennis
Clifford, William
Herrmann, Markus D.
Höfener, Henning
Octaviano, Igor
Osborne, Chad
Paquette, Suzanne
Petts, James
Punzo, Davide
Reyes, Madelyn
Schacherer, Daniela P.
Tian, Mi
White, George
Ziegler, Erik
Shmulevich, Ilya
Pihl, Todd
Wagner, Ulrike
Farahani, Keyvan
Kikinis, Ron
author_sort Fedorov, Andrey
collection PubMed
description The National Cancer Institute (NCI) Cancer Research Data Commons (CRDC) aims to establish a national cloud-based data science infrastructure. Imaging Data Commons (IDC) is a new component of CRDC supported by the Cancer Moonshot. The goal of IDC is to enable a broad spectrum of cancer researchers, with and without imaging expertise, to easily access and explore the value of deidentified imaging data and to support integrated analyses with nonimaging data. We achieve this goal by colocating versatile imaging collections with cloud-based computing resources and data exploration, visualization, and analysis tools. The IDC pilot was released in October 2020 and is being continuously populated with radiology and histopathology collections. IDC provides access to curated imaging collections, accompanied by documentation, a user forum, and a growing number of analysis use cases that aim to demonstrate the value of a data commons framework applied to cancer imaging research. SIGNIFICANCE: This study introduces NCI Imaging Data Commons, a new repository of the NCI Cancer Research Data Commons, which will support cancer imaging research on the cloud.
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spelling pubmed-83737942021-08-19 NCI Imaging Data Commons Fedorov, Andrey Longabaugh, William J.R. Pot, David Clunie, David A. Pieper, Steve Aerts, Hugo J.W.L. Homeyer, André Lewis, Rob Akbarzadeh, Afshin Bontempi, Dennis Clifford, William Herrmann, Markus D. Höfener, Henning Octaviano, Igor Osborne, Chad Paquette, Suzanne Petts, James Punzo, Davide Reyes, Madelyn Schacherer, Daniela P. Tian, Mi White, George Ziegler, Erik Shmulevich, Ilya Pihl, Todd Wagner, Ulrike Farahani, Keyvan Kikinis, Ron Cancer Res Resource Report The National Cancer Institute (NCI) Cancer Research Data Commons (CRDC) aims to establish a national cloud-based data science infrastructure. Imaging Data Commons (IDC) is a new component of CRDC supported by the Cancer Moonshot. The goal of IDC is to enable a broad spectrum of cancer researchers, with and without imaging expertise, to easily access and explore the value of deidentified imaging data and to support integrated analyses with nonimaging data. We achieve this goal by colocating versatile imaging collections with cloud-based computing resources and data exploration, visualization, and analysis tools. The IDC pilot was released in October 2020 and is being continuously populated with radiology and histopathology collections. IDC provides access to curated imaging collections, accompanied by documentation, a user forum, and a growing number of analysis use cases that aim to demonstrate the value of a data commons framework applied to cancer imaging research. SIGNIFICANCE: This study introduces NCI Imaging Data Commons, a new repository of the NCI Cancer Research Data Commons, which will support cancer imaging research on the cloud. American Association for Cancer Research 2021-08-15 2021-06-15 /pmc/articles/PMC8373794/ /pubmed/34185678 http://dx.doi.org/10.1158/0008-5472.CAN-21-0950 Text en ©2021 The Authors; Published by the American Association for Cancer Research https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.
spellingShingle Resource Report
Fedorov, Andrey
Longabaugh, William J.R.
Pot, David
Clunie, David A.
Pieper, Steve
Aerts, Hugo J.W.L.
Homeyer, André
Lewis, Rob
Akbarzadeh, Afshin
Bontempi, Dennis
Clifford, William
Herrmann, Markus D.
Höfener, Henning
Octaviano, Igor
Osborne, Chad
Paquette, Suzanne
Petts, James
Punzo, Davide
Reyes, Madelyn
Schacherer, Daniela P.
Tian, Mi
White, George
Ziegler, Erik
Shmulevich, Ilya
Pihl, Todd
Wagner, Ulrike
Farahani, Keyvan
Kikinis, Ron
NCI Imaging Data Commons
title NCI Imaging Data Commons
title_full NCI Imaging Data Commons
title_fullStr NCI Imaging Data Commons
title_full_unstemmed NCI Imaging Data Commons
title_short NCI Imaging Data Commons
title_sort nci imaging data commons
topic Resource Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8373794/
https://www.ncbi.nlm.nih.gov/pubmed/34185678
http://dx.doi.org/10.1158/0008-5472.CAN-21-0950
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