Improving OCT Image Segmentation of Retinal Layers by Utilizing a Machine Learning Based Multistage System of Stacked Multiscale Encoders and Decoders

Improving OCT Image Segmentation of Retinal Layers by Utilizing a Machine Learning Based Multistage System of Stacked Multiscale Encoders and Decoders

Optical coherence tomography (OCT)-based retinal imagery is often utilized to determine influential factors in patient progression and treatment, for which the retinal layers of the human eye are investigated to assess a patient’s health status and eyesight. In this contribution, we propose a machin...

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Bibliographic Details
Main Authors: Arunodhayan Sampath Kumar, Tobias Schlosser, Holger Langner, Marc Ritter, Danny Kowerko
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Bioengineering
Subjects:
ophthalmology
ophthalmology diseases
OCT biomarkers
OCT segmentation
computer vision and pattern recognition
machine learning
Online Access:https://www.mdpi.com/2306-5354/10/10/1177

Internet

https://www.mdpi.com/2306-5354/10/10/1177

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