Automatic Segmentation of Macular Edema in Retinal OCT Images Using Improved U-Net++

Automatic Segmentation of Macular Edema in Retinal OCT Images Using Improved U-Net++

The number and volume of retinal macular edemas are important indicators for screening and diagnosing retinopathy. Aiming at the problem that the segmentation method of macular edemas in a retinal optical coherence tomography (OCT) image is not ideal in segmentation of diverse edemas, this paper pro...

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Bibliographic Details
Main Authors: Zhijun Gao, Xingle Wang, Yi Li
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Applied Sciences
Subjects:
OCT
macular edema
U-Net++
Resnet
Online Access:https://www.mdpi.com/2076-3417/10/16/5701

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