Automated assessment of the smoothness of retinal layers in optical coherence tomography images using a machine learning algorithm

Quantifying the smoothness of different layers of the retina can potentially be an important and practical biomarker in various pathologic conditions like diabetic retinopathy. The purpose of this study is to develop an automated machine learning algorithm which uses support vector regression method...

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Detalles Bibliográficos
Autores principales: Saeidian, Jamshid, Mahmoudi, Tahereh, Riazi-Esfahani, Hamid, Montazeriani, Zahra, Khodabande, Alireza, Zarei, Mohammad, Ebrahimiadib, Nazanin, Jafari, Behzad, Afzal Aghaei, Alireza, Azimi, Hossein, Khalili Pour, Elias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896782/
https://www.ncbi.nlm.nih.gov/pubmed/36732684
http://dx.doi.org/10.1186/s12880-023-00976-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896782/
https://www.ncbi.nlm.nih.gov/pubmed/36732684
http://dx.doi.org/10.1186/s12880-023-00976-w

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