Neural Network Based Edge Detection for Automated Medical Diagnosis

摘要：

Edge 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.

作者: Dingran Lu Xiao-Hua Yu Xiaomin Jin Bin Li Quan Chen Jianhua Zhu

作者单位: Department of Electrical Engineering,California Polytechnic State University,San Luis Obispo,Califor Smartbead Inc.,San Luis Obispo,California,USA Health-coming Co.Ltd,Haining,Zhejiang Province,China Department of Orthopedics,Huzhou Central Hospital,Huzhou,Zhejiang Province,China

会议类型: 国际会议

会议名称: 第八届IEEE信息与自动化国际会议(ICIC 2011)

会议地点: 深圳

会议语种:英文

页码: 343-348

在线出版日期: 2011-06-06（万方平台首次上网日期，不代表论文的发表时间）