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

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

Abstract 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 sub...

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Autores principales: Reza Mirshahi, Pasha Anvari, Hamid Riazi-Esfahani, Mahsa Sardarinia, Masood Naseripour, Khalil Ghasemi Falavarjani
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/513337e7094c4d269635f992dfc12805
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