EAMR-Net: A multiscale effective spatial and cross-channel attention network for retinal vessel segmentation

EAMR-Net: A multiscale effective spatial and cross-channel attention network for retinal vessel segmentation

Delineation of retinal vessels in fundus images is essential for detecting a range of eye disorders. An automated technique for vessel segmentation can assist clinicians and enhance the efficiency of the diagnostic process. Traditional methods fail to extract multiscale information, discard unnecess...

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Bibliographic Details
Main Authors: G. Prethija, Jeevaa Katiravan
Format: Article
Language:English
Published: AIMS Press 2024-02-01
Series:Mathematical Biosciences and Engineering
Subjects:
residual
attention
drop block
spatial pooling
u-net
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2024208?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2024208?viewType=HTML

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