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Fundamental Bounds on Accuracy of Human Retinal SDOCT Image Segmentation based on Retinal Layer-Specific Noise Models

Publication ,  Conference
DuBose, TB; Milanfar, P; Izatt, JA; Farsiu, S
Published in: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
September 1, 2016
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Duke Scholars

Sina Farsiu
Author Sina Farsiu Biomedical Engineering

Published In

INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE

EISSN

1552-5783

ISSN

0146-0404

Publication Date

September 1, 2016

Volume

57

Issue

12

Location

Seattle, WA

Publisher

ASSOC RESEARCH VISION OPHTHALMOLOGY INC

Conference Name

Annual Meeting of the Association-for-Research-in-Vision-and-Ophthalmology (ARVO)

Related Subject Headings

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

Citation

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MLA
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DuBose, T. B., Milanfar, P., Izatt, J. A., & Farsiu, S. (2016). Fundamental Bounds on Accuracy of Human Retinal SDOCT Image Segmentation based on Retinal Layer-Specific Noise Models. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE (Vol. 57). Seattle, WA: ASSOC RESEARCH VISION OPHTHALMOLOGY INC.
DuBose, Theodore B., Peyman Milanfar, Joseph A. Izatt, and Sina Farsiu. “Fundamental Bounds on Accuracy of Human Retinal SDOCT Image Segmentation based on Retinal Layer-Specific Noise Models.” In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, Vol. 57. ASSOC RESEARCH VISION OPHTHALMOLOGY INC, 2016.
DuBose TB, Milanfar P, Izatt JA, Farsiu S. Fundamental Bounds on Accuracy of Human Retinal SDOCT Image Segmentation based on Retinal Layer-Specific Noise Models. In: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. ASSOC RESEARCH VISION OPHTHALMOLOGY INC; 2016.
DuBose, Theodore B., et al. “Fundamental Bounds on Accuracy of Human Retinal SDOCT Image Segmentation based on Retinal Layer-Specific Noise Models.” INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, vol. 57, no. 12, ASSOC RESEARCH VISION OPHTHALMOLOGY INC, 2016.
DuBose TB, Milanfar P, Izatt JA, Farsiu S. Fundamental Bounds on Accuracy of Human Retinal SDOCT Image Segmentation based on Retinal Layer-Specific Noise Models. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. ASSOC RESEARCH VISION OPHTHALMOLOGY INC; 2016.

Published In

INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE

EISSN

1552-5783

ISSN

0146-0404

Publication Date

September 1, 2016

Volume

57

Issue

12

Location

Seattle, WA

Publisher

ASSOC RESEARCH VISION OPHTHALMOLOGY INC

Conference Name

Annual Meeting of the Association-for-Research-in-Vision-and-Ophthalmology (ARVO)

Related Subject Headings

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