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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Vo Trong Quang Huy, Chih-Min Lin
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2025-01-01
Sarja:	IEEE Access
Aiheet:	Deep learning retinal vessel segmentation medical image processing UNet network convolution block dual attention module
Linkit:	https://ieeexplore.ieee.org/document/10855415/
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