Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

Hayit Greenspan; Bram Van Ginneken; Ronald M. Summers

doi:10.1109/TMI.2016.2553401

Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

Hayit Greenspan, Bram Van Ginneken, Ronald M. Summers

Research output: Contribution to journal › Editorial

1392 Scopus citations

Original language	English
Article number	7463094
Pages (from-to)	1153-1159
Number of pages	7
Journal	IEEE Transactions on Medical Imaging
Volume	35
Issue number	5
DOIs	https://doi.org/10.1109/TMI.2016.2553401
State	Published - May 2016
Externally published	Yes

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10.1109/TMI.2016.2553401

Cite this

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title = "Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique",

author = "Hayit Greenspan and {Van Ginneken}, Bram and Summers, {Ronald M.}",

note = "Funding Information: We would like to thank all the submissions to the journal. We value greatly the support from our large set of expert reviewers, who helped select the papers and shape this issue. H. Greenspan is funded in part by INTEL Collaborative Research Institute for Computational Intelligence (ICRI-CI). This work was funded in part by the Intramural Research Program of the National Institutes of Health, Clinical Center.",

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AU - Van Ginneken, Bram

AU - Summers, Ronald M.

N1 - Funding Information: We would like to thank all the submissions to the journal. We value greatly the support from our large set of expert reviewers, who helped select the papers and shape this issue. H. Greenspan is funded in part by INTEL Collaborative Research Institute for Computational Intelligence (ICRI-CI). This work was funded in part by the Intramural Research Program of the National Institutes of Health, Clinical Center.

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