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Spatial optimisation of retinal thickness analyses for improved accuracy of diagnosing age-related macular degeneration (AMD) _ IOVS _ ARVO Journals187.47 kB
Published VersionCC BY-NC-ND V4.0, Open Access
Abstract
Spatial optimisation of retinal thickness analyses for improved accuracy of diagnosing age-related macular degeneration (AMD)
Investigative Ophthalmology & Visual Science, Vol.65(9), PB0083
Association for Research in Vision and Ophthalmology (ARVO) Imaging in the Eye Conference, 2024 (Seattle, United States, 04-May-2024–09-May-2024)
2024
Abstract
No abstract available.
Details
- Title
- Spatial optimisation of retinal thickness analyses for improved accuracy of diagnosing age-related macular degeneration (AMD)
- Authors
- Judy Nam - UNSW SydneyMatt Trinh - UNSW SydneyRene Cheung - UNSW SydneyDavid Alonso-Caneiro - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringLisa Nivison-Smith - UNSW Sydney
- Publication details
- Investigative Ophthalmology & Visual Science, Vol.65(9), PB0083
- Conference details
- Association for Research in Vision and Ophthalmology (ARVO) Imaging in the Eye Conference, 2024 (Seattle, United States, 04-May-2024–09-May-2024)
- Publisher
- Association for Research in Vision and Ophthalmology
- Date published
- 2024
- ISSN
- 1552-5783; 0146-0404
- Copyright note
- This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
- Organisation Unit
- School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 991051998602621
- Output Type
- Abstract
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