SAFH-Net: A Hybrid Network With Shuffle Attention and Adaptive Feature Fusion for Enhanced Retinal Vessel Segmentation

SAFH-Net: A Hybrid Network With Shuffle Attention and Adaptive Feature Fusion for Enhanced Retinal Vessel Segmentation

Segmenting retinal blood vessels is critical for the early detection of retinal abnormalities. While significant progress has been achieved in vessel segmentation through deep learning techniques, existing methodologies still struggle with the effectiveness of extracting and integrating local-global...

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Bibliographic Details
Main Authors: Yang Zhou Ling Ou, Joon Huang Chuah, Hua Nong Ting, Shier Nee Saw, Jun Zhao
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Transformer
convolution
retinal vessel segmentation
adaptive future fusion
attention mechanism
SAFH-Net
Online Access:https://ieeexplore.ieee.org/document/11113244/
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https://ieeexplore.ieee.org/document/11113244/

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