Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Automated measurement of iris surface smoothness using anterior segment optical coherence tomography
por: Zarei, Mohammad, et al.
Publicado: (2021) -
Choroidal features in flat irregular pigment epithelial detachment associated with Chronic central serous chorioretinopathy: Avascular versus vascularized
por: Faghihi, Hooshang, et al.
Publicado: (2021) -
Intraocular Injection of StivantⓇ (A Biosimilar to Bevacizumab): A Case Series
por: Mirshahi, Ahmad, et al.
Publicado: (2021) -
Acquired Immunodeficiency Syndrome Presented as Atypical Ocular Toxoplasmosis
por: Khalili Pour, Elias, et al.
Publicado: (2021) -
The Role of Early Vitrectomy in the Healing of Retinal Lesions in Progressive Outer Retinal Necrosis
por: Riazi-Esfahani, Hamid, et al.
Publicado: (2022)