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Deploying artificial intelligence to find the needle in the haystack: deep learning for video capsule endoscopy.

Publication ,  Journal Article
Glissen Brown, JR; Berzin, TM
Published in: Gastrointest Endosc
July 2020

Duke Scholars

Published In

Gastrointest Endosc

DOI

EISSN

1097-6779

Publication Date

July 2020

Volume

92

Issue

1

Start / End Page

152 / 153

Location

United States

Related Subject Headings

  • Neural Networks, Computer
  • Image Interpretation, Computer-Assisted
  • Humans
  • Gastroenterology & Hepatology
  • Deep Learning
  • Capsule Endoscopy
  • Artificial Intelligence
  • 3202 Clinical sciences
  • 1103 Clinical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Glissen Brown, J. R., & Berzin, T. M. (2020). Deploying artificial intelligence to find the needle in the haystack: deep learning for video capsule endoscopy. Gastrointest Endosc, 92(1), 152–153. https://doi.org/10.1016/j.gie.2020.03.3851
Glissen Brown, Jeremy R., and Tyler M. Berzin. “Deploying artificial intelligence to find the needle in the haystack: deep learning for video capsule endoscopy.Gastrointest Endosc 92, no. 1 (July 2020): 152–53. https://doi.org/10.1016/j.gie.2020.03.3851.
Glissen Brown, Jeremy R., and Tyler M. Berzin. “Deploying artificial intelligence to find the needle in the haystack: deep learning for video capsule endoscopy.Gastrointest Endosc, vol. 92, no. 1, July 2020, pp. 152–53. Pubmed, doi:10.1016/j.gie.2020.03.3851.
Glissen Brown JR, Berzin TM. Deploying artificial intelligence to find the needle in the haystack: deep learning for video capsule endoscopy. Gastrointest Endosc. 2020 Jul;92(1):152–153.
Journal cover image

Published In

Gastrointest Endosc

DOI

EISSN

1097-6779

Publication Date

July 2020

Volume

92

Issue

1

Start / End Page

152 / 153

Location

United States

Related Subject Headings

  • Neural Networks, Computer
  • Image Interpretation, Computer-Assisted
  • Humans
  • Gastroenterology & Hepatology
  • Deep Learning
  • Capsule Endoscopy
  • Artificial Intelligence
  • 3202 Clinical sciences
  • 1103 Clinical Sciences