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We propose a novel dual-decoder based Cross-patch Feature Interactive Net with Edge Refinement (CFI-Net) for end-to-end retinal vessel segmentation.
Apr 9, 2024 · We propose a novel dual-decoder based Cross-patch Feature Interactive Net with Edge Refinement (CFI-Net) for end-to-end retinal vessel segmentation.
Retinal vessel segmentation based on deep learning is an important auxiliary method for assisting clinical doctors in diagnosing retinal diseases.
Apr 16, 2024 · Cross-patch feature interactive net with edge refinement for retinal vessel segmentation ; Ning Kang ; Maofa Wang ; Cheng Pang.
Cross-patch feature interactive net with edge refinement for retinal vessel segmentation ... Authors: Ning Kang; Maofa Wang; Cheng Pang; Rushi Lan; Bingbing Li ...
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Cross-patch feature interactive net with edge refinement for retinal vessel segmentation. 2024, Computers in Biology and Medicine.
Aug 6, 2024 · Cross-patch feature interactive net with edge refinement for retinal vessel segmentation. Comput. Biol. Medicine 174: 108443 (2024). [j12].
An effective segmentation scheme for retinal vessels can aid in the early diagnosis and treatment of these diseases, as well as help prevent their progression.
Cross-patch feature interactive net with edge refinement for retinal vessel segmentation ... SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation.
105859. Scopus. WoS. Crossref citations: 0 · Cross-patch feature interactive net with edge refinement for retinal vessel segmentation. Ning Kang, Maofa Wang ...