D2CBDAMAttUnet: Dual-Decoder Convolution Block Dual Attention Unet for Accurate Retinal Vessel Segmentation From Fundus Images

Gathering detailed morphological information from retinal blood vessels is crucial in clinical diagnostics, enabling doctors to make precise assessments of patient conditions and to devise custom treatments. Traditional methods of segmenting these vessels from fundus images are not only tedious but...

詳細記述

書誌詳細

主要な著者:	Vo Trong Quang Huy, Chih-Min Lin
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2025-01-01
シリーズ:	IEEE Access
主題:	Deep learning retinal vessel segmentation medical image processing UNet network convolution block dual attention module
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10855415/
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