Neural Network Based Edge Detection for Automated Medical Diagnosis2011 IEEE International Conference on Information and Automation Proceedings: Shenzhen, China
AbstractEdge detection is an important but rather difficult task in image processing and analysis. In this research, artificial neural networks are employed for edge detection based on its adaptive learning and nonlinear mapping properties. Fuzzy sets are introduced during the training phase to improve the generalization ability of neural networks. The application of the proposed neural network approach to the edge detection of medical images for automated bladder cancer diagnosis is also investigated. Successful computer simulation results are obtained.
Citation InformationDingran Lu, Xiao-Hua Yu, Xiaomin Jin, Bin Li, et al.. "Neural Network Based Edge Detection for Automated Medical Diagnosis" 2011 IEEE International Conference on Information and Automation Proceedings: Shenzhen, China (2011) p. 343 - 348
Available at: http://works.bepress.com/xjin/34/