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EnglishA retinal vessel segmentation method based on cel- lular neural networks (CNNs) is proposed. The CNN design is char- acterized by a virtual template expansion obtained through a mul- tistep operation. It is based on linear space-invariant 3 3 tem- plates and can be realized using existing chip prototypes like the ACE16K. The proposed design is capable of performing vessel seg- mentation within a short computation time. It was tested on a pub- licly available database of color images of the retina, using receiver operating characteristic curves. The simulation results show good performance comparable with that of the best existing methods.
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| Titolo: | Cellular neural network with virtual template expansion for retinal vessel segmentation |
| Autori: | |
| Data di pubblicazione: | 2007 |
| Rivista: | |
| Abstract: | A retinal vessel segmentation method based on cel- lular neural networks (CNNs) is proposed. The CNN design is char- acterized by a virtual template expansion obtained through a mul- tistep operation. It is based on linear space-invariant 3 3 tem- plates and can be realized using existing chip prototypes like the ACE16K. The proposed design is capable of performing vessel seg- mentation within a short computation time. It was tested on a pub- licly available database of color images of the retina, using receiver operating characteristic curves. The simulation results show good performance comparable with that of the best existing methods. |
| Handle: | http://hdl.handle.net/11391/28945 |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
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http://hdl.handle.net/11391/28945
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