Effect of Altered OCT Image Quality on Deep Learning Boundary Segmentation

Effect of Altered OCT Image Quality on Deep Learning Boundary Segmentation

Deep learning methods provide a platform to segment boundaries within the retina and choroid in OCT images of the posterior eye, with the ultimate goal of having a robust model that works well across a wide range of different datasets. However, since most studies of deep learning methods use dataset...

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Bibliographic Details
Main Authors: Jason Kugelman, David Alonso-Caneiro, Scott A. Read, Stephen J. Vincent, Fred K. Chen, Michael J. Collins
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Image segmentation
machine learning
optical coherence tomography
Online Access:https://ieeexplore.ieee.org/document/9019648/

Internet

https://ieeexplore.ieee.org/document/9019648/

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