DCU-net: a deformable convolutional neural network based on cascade U-net for retinal vessel segmentation

Xin Yang; Zhiqiang Li; Yingqing Guo; Dake Zhou

doi:10.1007/s11042-022-12418-w

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DCU-net: a deformable convolutional neural network based on cascade U-net for retinal vessel segmentation

Xin Yang Zhiqiang Li Yingqing Guo Dake Zhou

Year: 2022 Journal: Multimedia Tools and Applications Vol: 81 (11)Pages: 15593-15607 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-022-12418-w

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Keywords:

Computer science Segmentation Residual Cascade Convolutional neural network Artificial intelligence Convolution (computer science) Pattern recognition (psychology) Net (polyhedron) Feature (linguistics) Channel (broadcasting) Retinal Artificial neural network Computer vision Algorithm Ophthalmology Mathematics

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Retinal Imaging and Analysis

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Digital Imaging for Blood Diseases

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

DCU-net: a deformable convolutional neural network based on cascade U-net for retinal vessel segmentation

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