MC-UNet: Multimodule Concatenation Based on U-Shape Network for Retinal Blood Vessels Segmentation.

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作者： Jun,Li ^[1] ; Ting,Zhang ^[2] ; Yi,Zhao ^[1] ; Nan,Chen ^[2] ; Han,Zhou ^[1] ; Hongtao,Xu ^[1] ; Zihao,Guan ^[2] ; Lanyan,Xue ^[1] ; Changcai,Yang ^[2] ; Riqing,Chen ^[1] ; Lifang,Wei ^[2]

作者单位： College of Computer and Information, Fujian Agriculture and Forestry University, Fuzhou 350002, China. ^[1] Digital Fujian Research Institute of Big Data for Agriculture and Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China. ^[2]

主题词图像处理, 计算机辅助(Image Processing, Computer-Assisted);算法(Algorithms);视网膜血管(Retinal Vessels);视网膜(Retina)

DOI 10.1155/2022/9917691

PMID 36387767

发布时间 2022-11-21

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Computational intelligence and neuroscience

2022年2022卷

9917691页

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MC-UNet: Multimodule Concatenation Based on U-Shape Network for Retinal Blood Vessels Segmentation.

Computational intelligence and neuroscience

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Computational intelligence and neuroscience

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MC-UNet: Multimodule Concatenation Based on U-Shape Network for Retinal Blood Vessels Segmentation.

Computational intelligence and neuroscience

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Computational intelligence and neuroscience

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