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Cellular Neural Networks for Medical Image Noise Cancellation Based on Particle Swarm Optimization
| Content Provider | Semantic Scholar |
|---|---|
| Author | Wang, Hsin-Chih |
| Copyright Year | 2006 |
| Abstract | In this paper, a novel method for designing templates of cellular neural networks (CNNs) is discussed to cancel the image noise. The discretetime cellular neural network (DTCNN) combining with particle swarm optimization (PSO) is applied to medical image noise cancellation. Computed tomography is familiar diagnosis in medical field, and it is often polluted by outside interference. Based on PSO method, the templates of cellular neural network is optimized to diminish noise interference in polluted medical computed tomography image. The demonstrated examples are presented to illustrate the effective results of the proposed methodology. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://gpbib.cs.ucl.ac.uk/gecco2006etc/papers/lbp125.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |