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...
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: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2022.1040562/full |
Similar Items
-
Segmenting Retinal Vessels Using a Shallow Segmentation Network to Aid Ophthalmic Analysis
by: Muhammad Arsalan, et al.
Published: (2022-05-01) -
Role of Smad4 from ocular surface ectoderm in retinal vasculature development
by: Jing Li, et al.
Published: (2020-02-01) -
Enhancing Retinal Blood Vessel Segmentation through Self-Supervised Pre-Training
by: José Morano, et al.
Published: (2020-08-01) -
Quantitative analysis of retinal vasculature in normal eyes using ultra-widefield fluorescein angiography
by: Jing-Wen Jiang, et al.
Published: (2021-12-01) -
Centerline Extraction of Vasculature Mesh
by: Mingqiang Wei, et al.
Published: (2018-01-01)