SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation

•We propose a novel scale and context sensitive network (SCS-Net) for retinal vessel segmentation.•We employ a SFA module to effectively extract concealed multi-scale context information.•We propose an AFF module to adaptively combine context information and spatial information.•A MSS module is furt...

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Bibliographic Details
Published in:Medical image analysis 2021-05, Vol.70, p.102025, Article 102025
Main Authors: Wu, Huisi, Wang, Wei, Zhong, Jiafu, Lei, Baiying, Wen, Zhenkun, Qin, Jing
Format: Article
Language:English
Subjects:
Adaptive feature fusion
Blood vessels
Context
Exudates
Exudation
Eye diseases
Feature extraction
Hemorrhage
Image segmentation
Medical imaging
Modules
Morphology
Multi-level semantic supervision
Retina
Retinal images
Retinal vessel segmentation
Scale-aware feature aggregation
Semantics
Variation
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