2023
DOI: 10.1016/j.bspc.2022.104113
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M3U-CDVAE: Lightweight retinal vessel segmentation and refinement network

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Cited by 5 publications
(1 citation statement)
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“…However, automatic retinal vessel segmentation remains a longterm challenge [5] due to the following reasons: (1) Due to the equipment used to capture the images and the acquisition environment, the quality of fundus images is poor. In retinal images, the large amount of noise, low contrast between the vessels and the background [6], and uneven illumination hinder the accurate segmentation of vessels. (2) Retinal images contain abundant capillaries with complex structures, such as vessel crossing, branching, and centerline reflex.…”
Section: Introductionmentioning
confidence: 99%
“…However, automatic retinal vessel segmentation remains a longterm challenge [5] due to the following reasons: (1) Due to the equipment used to capture the images and the acquisition environment, the quality of fundus images is poor. In retinal images, the large amount of noise, low contrast between the vessels and the background [6], and uneven illumination hinder the accurate segmentation of vessels. (2) Retinal images contain abundant capillaries with complex structures, such as vessel crossing, branching, and centerline reflex.…”
Section: Introductionmentioning
confidence: 99%