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7th International Symposium on AMD: Age-related Macular Degeneration – Understanding Pathogenetic Mechanisms of Disease

20.09. - 21.09.2019, Baden-Baden

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Deep learning applications with OCT in AMD

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  • Aaron Lee - University of Washington/USA

7th International Symposium on AMD: Age-related Macular Degeneration - Understanding Pathogenetic Mechanisms of Disease. Baden-Baden, 20.-21.09.2019. Düsseldorf: German Medical Science GMS Publishing House; 2020. Doc19amd56

doi: 10.3205/19amd56, urn:nbn:de:0183-19amd569

Published: February 5, 2020

© 2020 Lee.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.

Outline

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Background: Deep learning applications show great promise in their ability to perform automated diagnosis and segmentation. Large databases of images are required to train and build these algorithms.

Methods: Multiple deep learning algorithms were used for automated diagnosis, feature segmentation, and prediction.

Results: Algorithms were validated and were successfully trained using large datasets.

Conclusion: Deep learning holds great promise in their ability to learn features in a data driven fashion.