Densely connected U‐Net retinal vessel segmentation algorithm based on multi‐scale feature convolution extraction

Research article (Medical Physics, 2021) · cited 17× · AI/ML
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Densely connected U‐Net retinal vessel segmentation algorithm based on multi‐scale feature convolution extraction

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Densely connected U‐Net retinal vessel segmentation algorithm based on multi‐scale feature convolution extraction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Densely connected U‐Net retinal vessel segmentation algorithm based on multi‐scale feature convolution extraction. Retrieved May 24, 2026, from https://4ort.xyz/entity/densely-connected-unet-retinal-vessel-segmentation-algorithm-based-on-multiscale-feature-convolution-extraction
MLA “Densely connected U‐Net retinal vessel segmentation algorithm based on multi‐scale feature convolution extraction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/densely-connected-unet-retinal-vessel-segmentation-algorithm-based-on-multiscale-feature-convolution-extraction.
BibTeX @misc{4ortxyz_densely-connected-unet-retinal-vessel-segmentation-algorithm-based-on-multiscale-feature-convolution-extraction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Densely connected U‐Net retinal vessel segmentation algorithm based on multi‐scale feature convolution extraction}}, year = {2026}, url = {https://4ort.xyz/entity/densely-connected-unet-retinal-vessel-segmentation-algorithm-based-on-multiscale-feature-convolution-extraction}, note = {Accessed: 2026-05-24}}
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