Feature preserving mesh network for semantic segmentation of retinal vasculature to support ophthalmic disease analysis

Feature preserving mesh network for semantic segmentation of retinal vasculature to support ophthalmic disease analysis

IntroductionOphthalmic diseases are approaching an alarming count across the globe. Typically, ophthalmologists depend on manual methods for the analysis of different ophthalmic diseases such as glaucoma, Sickle cell retinopathy (SCR), diabetic retinopathy, and hypertensive retinopathy. All these ma...

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Bibliographic Details
Main Authors: Syed Muhammad Ali Imran, Muhammad Waqas Saleem, Muhammad Talha Hameed, Abida Hussain, Rizwan Ali Naqvi, Seung Won Lee
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Medicine
Subjects:
ophthalmic diseases
retinal vasculature
retinal image segmentation
semantic segmentation
computer–aided diagnosis
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.1040562/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2022.1040562/full

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