Tag: imaging

Dec 11

Announcing the Release of the Imaging Data Commons Request for Proposals

Dr. Stephen Jett Headshot

 By Stephen D. Jett, Ph.D. AAAS Science & Technology Policy Fellow Center for Biomedical Informatics and Information Technology National Cancer Institute In 2016, the Cancer MoonshotSM was announced with the intent to accelerate progress in cancer research and speed the transition from laboratory discovery to therapeutics. A Blue Ribbon Panel was established, which made twelve recommendations …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/announcing-release-imaging-data-commons-request-proposals/

Sep 20

The Promise and the Challenge of Deep Learning in Pathology

Lee Cooper's headshot: A man standing in front of trees with a white shirt and black suit jacket on a blue and white background.

By Lee Cooper, Ph.D. Assistant Professor, Department of Biomedical Informatics Emory University School of Medicine Assistant Professor, Wallace H. Coulter Department of Biomedical Engineering Georgia Institute of Technology and Emory University One of the most exciting developments of the past decade has been the success of methods broadly described as deep learning. While the roots …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/promise-challenge-deep-learning-pathology/

Apr 05

NCI Requests Input on the Development of an Imaging Data Commons

By Stephen D Jett, Ph.D. AAAS Science & Technology Policy Fellow National Cancer Institute    In 2016, a Blue Ribbon Panel (BRP) was established, as part of the Beau Biden Cancer Moonshot, to make key recommendations that would support the Moonshot goals of accelerating progress in cancer research and breaking down barriers to developing new …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/nci-requests-input-development-imaging-data-commons/

Jan 17

Artificial Intelligence in Cancer Diagnostics and Prognostics: Radiologists in the Driver’s Seat

Hugo Aerts, Ph.D.Hugo Aerts, Ph.D.

By Hugo Aerts, Ph.D. Director, Computational Imaging and Bioinformatics Laboratory (CIBL) Associate Professor, Harvard University In the past year, the use of Artificial Intelligence (AI) in radiology, also called “radiomics,” has been getting a lot of attention, mainly because of the progress Deep Learning (DL) has made from a sub-human performance to performance that is …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/artificial-intelligence-cancer-diagnostics-prognostics-radiologists-drivers-seat/

Feb 13

Imaging: A Key Component of a Cancer Data Ecosystem

    By Edward Helton, Ph.D., Government Sponsor, CBIIT Clinical Imaging Program, Robert Nordstrom, Ph.D., Branch Chief, Imaging Guided Intervention Branch, and Eve Shalley, Program Manager, NCI CBIIT Cancer Informatics Branch Precision medicine has quickly moved to the forefront of clinical research and practice, and is particularly pertinent to cancer since cancer is a disease of the …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/imaging-key-component-cancer-data-ecosystem/

Aug 19

NCIP Hub: Addressing Imaging Community Needs

CT scan

In his earlier post, Ishwar Chandramouliswaran introduced the objectives of the NCIP Hub, an online resource for research and collaboration in cancer informatics. As a scientific repository, the NCIP Hub can store community-generated data, tools, and other resources. Members can upload tools, conduct analyses, and collaborate, giving researchers the opportunity to engage with and leverage …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/ncip-hub-addressing-imaging-community-needs/

Oct 15

Cultivating Collaborations on Imaging Research and Informatics

Cross Section of the Brain

Within the National Cancer Institute (NCI), there is new potential for an increasingly beneficial collaboration between the Cancer Imaging Program (CIP) in the Division of Cancer Treatment and Diagnosis (DCTD) and the Center for Biomedical Informatics and Information Technology (CBIIT) in the Office of the Director.  The Institute’s recent launch of the National Cancer Informatics …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/cultivating-intramural-collaborations-on-imaging-research-and-informatics/

Sep 28

NCIP News Update, September 28, 2012

Two heads with informatics cloud

Welcome to NCIP News Update, our regularly reoccuring blog post of NCIP news and information. Please check in regularly to receive details about NCIP as we continue to evolve this new program. Links to these updates will also be published via the @NCI_NCIP Twitter account, the NCIP Announce listserv, and the NCIP LinkedIn Group. As …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/ncip-news-update-september-28-2012/

Aug 15

Ephemeral Images, Indelible Data: The Promises and Challenges of Digital Imaging as Applied to Pathology

graphic representation of transformation of the coordinate system

  Those of us working in biomedical informatics are well aware that one of our omnipresent challenges is overcoming the disparity between our capacity to use high-throughput research technologies to produce huge quantities of data, which is now very high, and our practical ability to store, aggregate, analyze, and integrate the resulting mountains of heterogeneous …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/ephemeral-images-indelible-data-the-promises-and-challenges-of-digital-imaging-as-applied-to-pathology/

Aug 03

Radiation Therapy Oncology Group (RTOG) Bioinformatics

Word Cloud for Ying Xiao imaging presentation

The NCI-supported Cooperative Groups conduct national- and international-scale multicenter clinical trials.  They face escalating computational challenges as the amount of clinical trials data generated by a multiplicity of research technologies and clinical observations continues to expand. As part of our ongoing Speaker Series, we recently invited Dr. Ying Xiao to discuss informatics initiatives being undertaken …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/radiation-therapy-oncology-group-rtog-bioinformatics/