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AI for medical imaging goes deep.

Publication ,  Journal Article
Ting, DSW; Liu, Y; Burlina, P; Xu, X; Bressler, NM; Wong, TY
Published in: Nat Med
May 2018

Duke Scholars

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Published In

Nat Med

DOI

EISSN

1546-170X

Publication Date

May 2018

Volume

24

Issue

5

Start / End Page

539 / 540

Location

United States

Related Subject Headings

  • Immunology
  • Imaging, Three-Dimensional
  • Humans
  • Diagnostic Imaging
  • Deep Learning
  • Artificial Intelligence
  • 42 Health sciences
  • 32 Biomedical and clinical sciences
  • 11 Medical and Health Sciences
 

Citation

APA
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ICMJE
MLA
NLM
Ting, D. S. W., Liu, Y., Burlina, P., Xu, X., Bressler, N. M., & Wong, T. Y. (2018). AI for medical imaging goes deep. Nat Med, 24(5), 539–540. https://doi.org/10.1038/s41591-018-0029-3
Ting, Daniel S. W., Yong Liu, Philippe Burlina, Xinxing Xu, Neil M. Bressler, and Tien Y. Wong. “AI for medical imaging goes deep.Nat Med 24, no. 5 (May 2018): 539–40. https://doi.org/10.1038/s41591-018-0029-3.
Ting DSW, Liu Y, Burlina P, Xu X, Bressler NM, Wong TY. AI for medical imaging goes deep. Nat Med. 2018 May;24(5):539–40.
Ting, Daniel S. W., et al. “AI for medical imaging goes deep.Nat Med, vol. 24, no. 5, May 2018, pp. 539–40. Pubmed, doi:10.1038/s41591-018-0029-3.
Ting DSW, Liu Y, Burlina P, Xu X, Bressler NM, Wong TY. AI for medical imaging goes deep. Nat Med. 2018 May;24(5):539–540.

Published In

Nat Med

DOI

EISSN

1546-170X

Publication Date

May 2018

Volume

24

Issue

5

Start / End Page

539 / 540

Location

United States

Related Subject Headings

  • Immunology
  • Imaging, Three-Dimensional
  • Humans
  • Diagnostic Imaging
  • Deep Learning
  • Artificial Intelligence
  • 42 Health sciences
  • 32 Biomedical and clinical sciences
  • 11 Medical and Health Sciences