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A Deep Learning Algorithm can Predict Retinal Nerve Fiber Layer Thickness with Lower Long-term Variability than Conventional Automated Segmentation

Publication ,  Conference
Urata, C; Mariottoni, EB; Jammal, AA; Thompson, AC; Medeiros, FA
Published in: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
2019

Duke Scholars

Published In

INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE

EISSN

1552-5783

ISSN

0146-0404

Publication Date

2019

Volume

60

Issue

9

Related Subject Headings

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

Citation

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ICMJE
MLA
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Urata, C., Mariottoni, E. B., Jammal, A. A., Thompson, A. C., & Medeiros, F. A. (2019). A Deep Learning Algorithm can Predict Retinal Nerve Fiber Layer Thickness with Lower Long-term Variability than Conventional Automated Segmentation. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE (Vol. 60).
Urata, Carla, Eduardo Bicalho Mariottoni, Alessandro A. Jammal, Atalie C. Thompson, and Felipe A. Medeiros. “A Deep Learning Algorithm can Predict Retinal Nerve Fiber Layer Thickness with Lower Long-term Variability than Conventional Automated Segmentation.” In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, Vol. 60, 2019.
Urata C, Mariottoni EB, Jammal AA, Thompson AC, Medeiros FA. A Deep Learning Algorithm can Predict Retinal Nerve Fiber Layer Thickness with Lower Long-term Variability than Conventional Automated Segmentation. In: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. 2019.
Urata C, Mariottoni EB, Jammal AA, Thompson AC, Medeiros FA. A Deep Learning Algorithm can Predict Retinal Nerve Fiber Layer Thickness with Lower Long-term Variability than Conventional Automated Segmentation. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. 2019.

Published In

INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE

EISSN

1552-5783

ISSN

0146-0404

Publication Date

2019

Volume

60

Issue

9

Related Subject Headings

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