Block Attention and Switchable Normalization Based Deep Learning Framework for Segmentation of Retinal Vessels
The presence of high blood sugar levels damages blood vessels and causes an eye
condition called diabetic retinopathy. The ophthalmologist can detect this disease by looking …
condition called diabetic retinopathy. The ophthalmologist can detect this disease by looking …
MFA-UNet: a vessel segmentation method based on multi-scale feature fusion and attention module
J Cao, J Chen, Y Gu, J Liu - Frontiers in Neuroscience, 2023 - frontiersin.org
Introduction The accurate segmentation of retinal vessels is of utmost importance in the
diagnosis of retinal diseases. However, the complex vessel structure often leads to poor …
diagnosis of retinal diseases. However, the complex vessel structure often leads to poor …
Dilation-supervised Learning: A Novel Strategy for Scale Difference in Retinal Vessel Segmentation
H Wang, W Zuo, B Li, X Pan, Z Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Retinal fundus image segmentation based on deep learning is an important method for
auxiliary diagnosis of ophthalmic diseases. Due to the scale difference of the blood vessels …
auxiliary diagnosis of ophthalmic diseases. Due to the scale difference of the blood vessels …
A hybrid fusion method combining spatial image filtering with parallel channel network for retinal vessel segmentation
Retinography is a frequently used imaging method that aids in the clinical diagnosis of eye
disorders. Low contrast and being exposed to noise are the primary factors in degraded …
disorders. Low contrast and being exposed to noise are the primary factors in degraded …
CMP-UNet: A Retinal Vessel Segmentation Network Based on Multi-Scale Feature Fusion
Y Gu, R Cao, D Wang, B Lu - Electronics, 2023 - mdpi.com
Retinal vessel segmentation plays a critical role in the diagnosis and treatment of various
ophthalmic diseases. However, due to poor image contrast, intricate vascular structures, and …
ophthalmic diseases. However, due to poor image contrast, intricate vascular structures, and …