Ensemble Learning Approach to Retinal Thickness Assessment in Optical Coherence Tomography

Ensemble Learning Approach to Retinal Thickness Assessment in Optical Coherence Tomography

Manual assessment of the retinal thickness in optical coherence tomography images is a time-consuming task, prone to error and inter-observer variability. The wide variability of the retinal appearance makes the automation of retinal image processing a challenging problem to tackle. The difficulty i...

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Bibliographic Details
Main Authors: Alex Cazanas-Gordon, Esther Parra-Mora, Luis A. Da Silva Cruz
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep learning
ensemble learning
semantic segmentation
image processing
retinal thickness
optical coherence tomography
Online Access:https://ieeexplore.ieee.org/document/9419007/

Internet

https://ieeexplore.ieee.org/document/9419007/

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