Name
Abstract | ||
|---|---|---|
In this paper, some of the image processing and pattern recognition methods that have been used on medical images for cancer diagnosis are reviewed. Previous studies on Artificial Neural Networks, Genetic Programming, and Wavelet Analysis are described with their working process and advantages. The definition of each method is provided in this study, and the acknowledgement is granted for previous related research activities. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/SoCPaR.2009.93 | SoCPaR |
Keywords | Field | DocType |
cancer diagnosis,genetic programming,previous related research activity,wavelet analysis,image processing,pattern recognition,previous study,medical images,pattern recognition applications,artificial neural network,artificial neural networks,cancer,medical image,pattern recognition method,working process,medical image processing,feature extraction,accuracy,classification algorithms | Pattern recognition,Computer science,Image processing,Feature extraction,Genetic programming,Acknowledgement,Artificial intelligence,Artificial neural network,Statistical classification,Machine learning,Wavelet | Conference |
ISBN | Citations | PageRank |
978-0-7695-3879-2 | 1 | 0.44 |
References | Authors | |
22 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amir Atapour Abarghouei | 1 | 8 | 3.29 |
| Afshin Ghanizadeh | 2 | 2 | 1.47 |
| Saman Sinaie | 3 | 2 | 1.47 |
| Siti Mariyam Shamsuddin | 4 | 398 | 41.80 |