Retinal Fundus Image Enhancement Using the Normalized Convolution and Noise Removing
Retinal fundus image plays an important role in the diagnosis of retinal related diseases. The detailed information of the retinal fundus image such as small vessels, microaneurysms, and exudates may be in low contrast, and retinal image enhancement usually gives help to analyze diseases related to...
Saved in:
Main Authors: | Peishan Dai, Hanwei Sheng, Jianmei Zhang, Ling Li, Jing Wu, Min Fan |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2016-01-01
|
Series: | International Journal of Biomedical Imaging |
Online Access: | http://dx.doi.org/10.1155/2016/5075612 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Retinal Fundus Image Registration via Vascular Structure Graph Matching
by: Kexin Deng, et al.
Published: (2010-01-01) -
D2CBDAMAttUnet: Dual-Decoder Convolution Block Dual Attention Unet for Accurate Retinal Vessel Segmentation From Fundus Images
by: Vo Trong Quang Huy, et al.
Published: (2025-01-01) -
Multimodal Imaging of the Fundus
by: Atsushi Hayashi, et al.
Published: (2013-01-01) -
Predicting branch retinal vein occlusion development using multimodal deep learning and pre-onset fundus hemisection images
by: Eun Young Choi, et al.
Published: (2025-01-01) -
Comparison of retinal vascular abnormalities in the fellow eyes of children with Coats’ disease and normal subjects using ultra-widefield fundus fluorescein angiography
by: Shenshen Yan, et al.
Published: (2025-02-01)