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- W601825268 abstract "A retinal vessel segmentation method based on cellular neural networks (CNNs) is proposed. The CNN design is characterized by a virtual template expansion obtained through a multi-step operation. It is based on linear, space-invariant 3×3 templates, and can be realized using real-life devices with minor changes. The proposed design is capable to perform vessel segmentation within short computation time. It was tested on a publicly available database of color images of the retina, using receiver operating characteristic (ROC) curves. The simulation results show the good performance, comparable with the best existing methods." @default.
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- W601825268 date "2008-01-01" @default.
- W601825268 modified "2023-09-26" @default.
- W601825268 title "Retinal Vessel Segmentation by CNN based Algorithm" @default.
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