Orientation and Context Entangled Network for Retinal Vessel Segmentation

Xinxu Wei, Kaifu Yang, Danilo Bzdok, Yongjie Li

Abstract: Highlights•An Orientation and Context Entangled Network is proposed for vessel segmentation.•A DCOA convolution is proposed to capture the orientation of vessels.•A Global and Local Fusion Module is proposed to modeling the global dependencies.•An OCE-DNL is proposed to entangle the orientation and context.•An Unbalanced Attention Refine Module is designed to refine the output features.