2021
DOI: 10.1158/0008-5472.can-21-0950
|View full text |Cite
|
Sign up to set email alerts
|

NCI Imaging Data Commons

Abstract: The National Cancer Institute (NCI) Cancer Research Data Commons (CRDC) aims to establish a national cloudbased 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 de-identified imaging data and to support integrated analyses with non-imaging data. We achieve this goal by co-locating versatile imaging… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
41
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
3
3
3

Relationship

3
6

Authors

Journals

citations
Cited by 57 publications
(41 citation statements)
references
References 25 publications
0
41
0
Order By: Relevance
“…We further show that data can be exchanged and stored using DICOM-compatible image management systems, which already exist in hospitals worldwide and are increasingly being adopted by biomedical imaging research initiatives around the world. For example, the National Cancer Institute's Imaging Data Commons (IDC) in the USA will make large public collections of pathology and radiology images, image annotations, and image analysis results available in DICOM format [52]. The highdicom library will allow researchers to leverage these resources and enable them to readily share their results and make them usable by other researchers.…”
Section: Common Platforms Services and Tools Will Facilitate Enterpri...mentioning
confidence: 99%
“…We further show that data can be exchanged and stored using DICOM-compatible image management systems, which already exist in hospitals worldwide and are increasingly being adopted by biomedical imaging research initiatives around the world. For example, the National Cancer Institute's Imaging Data Commons (IDC) in the USA will make large public collections of pathology and radiology images, image annotations, and image analysis results available in DICOM format [52]. The highdicom library will allow researchers to leverage these resources and enable them to readily share their results and make them usable by other researchers.…”
Section: Common Platforms Services and Tools Will Facilitate Enterpri...mentioning
confidence: 99%
“…We further show that data can be exchanged and stored using DICOM-compatible image management systems, which already exist in hospitals worldwide and are increasingly being adopted by biomedical imaging research initiatives around the world. For example, the National Cancer Institute's Imaging Data Commons (IDC) in the United States will make large public collections of pathology and radiology images, image annotations, and image analysis results available in DICOM format [49]. The highdicom library will allow researchers to leverage these resources and enable them to readily share their results and make them usable by other researchers.…”
Section: Scaling To Large Numbers Of Image Annotations or Model Outpu...mentioning
confidence: 99%
“…Specifically, it computes aleatoric and epistemic uncertainty values to rank unlabeled images, allowing the clinician/user to segment the harder samples first. It also supports the DICOMweb Standard for webbased medical imaging, enabling users to integrate MONAI Label in their Picture Archiving and Communication System (PACS), XNAT [30], Image Data Commons (IDC) [31] or any other DI-COM system. This feature allows web developers to unlock the power of healthcare images using industry-standard toolsets.…”
Section: Introductionmentioning
confidence: 99%