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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Detalles Bibliográficos
Autores principales: Sampath Kumar, Arunodhayan, Schlosser, Tobias, Langner, Holger, Ritter, Marc, Kowerko, Danny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603937/
https://www.ncbi.nlm.nih.gov/pubmed/37892907
http://dx.doi.org/10.3390/bioengineering10101177

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603937/
https://www.ncbi.nlm.nih.gov/pubmed/37892907
http://dx.doi.org/10.3390/bioengineering10101177

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