Ensemble Learning Approach to Retinal Thickness Assessment in Optical Coherence Tomography

Manual assessment of the retinal thickness in optical coherence tomography images is a timeconsuming 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 dif culty is...

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Bibliographic Details
Main Author: Cazanas-Gordon, Alex (author)
Other Authors: Parra-Mora, Esther (author), Cruz, Luis Alberto da Silva (author)
Format: article
Language:eng
Published: 2021
Subjects:
Deep learning
ensemble learning
semantic segmentation
image processing
retinal thickness
optical coherence tomography
Online Access:http://hdl.handle.net/10316/100824
Country:Portugal
Oai:oai:estudogeral.sib.uc.pt:10316/100824

Internet

http://hdl.handle.net/10316/100824

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