Regional choroidal thickness estimation from color fundus images based on convolutional neural networks

Regional choroidal thickness estimation from color fundus images based on convolutional neural networks

Purpose: This study aims to estimate the regional choroidal thickness from color fundus images from convolutional neural networks in different network structures and task learning models. Method: 1276 color fundus photos and their corresponding choroidal thickness values from healthy subjects were o...

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Bibliographic Details
Main Authors: Yibiao Rong, Qifeng Chen, Zehua Jiang, Zhun Fan, Haoyu Chen
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Heliyon
Subjects:
choroid
Optical imaging
Deep learning
Fundus oculi
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024029037

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http://www.sciencedirect.com/science/article/pii/S2405844024029037

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