Foveal avascular zone segmentation in optical coherence tomography angiography images using a deep learning approach

The purpose of this study was to introduce a new deep learning (DL) model for segmentation of the fovea avascular zone (FAZ) in en face optical coherence tomography angiography (OCTA) and compare the results with those of the device’s built-in software and manual measurements in healthy subjects and...

Descripción completa

Detalles Bibliográficos
Autores principales: Mirshahi, Reza, Anvari, Pasha, Riazi-Esfahani, Hamid, Sardarinia, Mahsa, Naseripour, Masood, Falavarjani, Khalil Ghasemi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806603/
https://www.ncbi.nlm.nih.gov/pubmed/33441825
http://dx.doi.org/10.1038/s41598-020-80058-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806603/
https://www.ncbi.nlm.nih.gov/pubmed/33441825
http://dx.doi.org/10.1038/s41598-020-80058-x

Ejemplares similares