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Assessment of deep learning-based triage for robotically acquired retinal optical coherence tomography (OCT) images in an emergency department population

Publication ,  Conference
Song, A; Roh, K-M; Lusk, J; Valikodath, N; Lad, E; Limkakeng, A; Izatt, J; McNabb, R; Kuo, A
Published in: Investigative Ophthalmology and Visual Science
June 1, 2022

Duke Scholars

Published In

Investigative Ophthalmology and Visual Science

ISSN

0146-0404

Publication Date

June 1, 2022

Volume

63

Start / End Page

3018 / F0288

Location

Denver, CO

Publisher

The Association for Research in Vision and Ophthalmology

Conference Name

ARVO Annual Meeting

Related Subject Headings

  • Ophthalmology & Optometry
  • 3212 Ophthalmology and optometry
  • 11 Medical and Health Sciences
  • 06 Biological Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Song, A., Roh, K.-M., Lusk, J., Valikodath, N., Lad, E., Limkakeng, A., … Kuo, A. (2022). Assessment of deep learning-based triage for robotically acquired retinal optical coherence tomography (OCT) images in an emergency department population. In Investigative Ophthalmology and Visual Science (Vol. 63, pp. 3018-F0288). Denver, CO: The Association for Research in Vision and Ophthalmology.
Song, Ailin, Kyung-Min Roh, Jay Lusk, Nita Valikodath, Eleonora Lad, Alexander Limkakeng, Joseph Izatt, Ryan McNabb, and Anthony Kuo. “Assessment of deep learning-based triage for robotically acquired retinal optical coherence tomography (OCT) images in an emergency department population.” In Investigative Ophthalmology and Visual Science, 63:3018-F0288. The Association for Research in Vision and Ophthalmology, 2022.
Song A, Roh K-M, Lusk J, Valikodath N, Lad E, Limkakeng A, et al. Assessment of deep learning-based triage for robotically acquired retinal optical coherence tomography (OCT) images in an emergency department population. In: Investigative Ophthalmology and Visual Science. The Association for Research in Vision and Ophthalmology; 2022. p. 3018-F0288.
Song, Ailin, et al. “Assessment of deep learning-based triage for robotically acquired retinal optical coherence tomography (OCT) images in an emergency department population.” Investigative Ophthalmology and Visual Science, vol. 63, The Association for Research in Vision and Ophthalmology, 2022, pp. 3018-F0288.
Song A, Roh K-M, Lusk J, Valikodath N, Lad E, Limkakeng A, Izatt J, McNabb R, Kuo A. Assessment of deep learning-based triage for robotically acquired retinal optical coherence tomography (OCT) images in an emergency department population. Investigative Ophthalmology and Visual Science. The Association for Research in Vision and Ophthalmology; 2022. p. 3018-F0288.

Published In

Investigative Ophthalmology and Visual Science

ISSN

0146-0404

Publication Date

June 1, 2022

Volume

63

Start / End Page

3018 / F0288

Location

Denver, CO

Publisher

The Association for Research in Vision and Ophthalmology

Conference Name

ARVO Annual Meeting

Related Subject Headings

  • Ophthalmology & Optometry
  • 3212 Ophthalmology and optometry
  • 11 Medical and Health Sciences
  • 06 Biological Sciences