Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Information & Communications》 2019-02
Add to Favorite Get Latest Update

The system design and implementation of skin cancer detection

Zhou Zhe;Kang Changqing;Xu Mengting;School of Computer Engineering, Hubei University of Arts and Science;  
Early diagnosis of skin cancer is in increasing demand in the medical field. The research of skin cancer detection is of important significance and application value. The proposed skin cancer detection system included mainly four function modules,which were image preprocessing module, feature extraction module, the establishment module of estimation model and model prediction module. Firstly, the desired input images were gained via the image preprocessing techniques, including image denoising and image segmentation. Next, the features were extracted using ABCD rule in the Interactive Atlas of Dermoscopy.Then, the model of learning was constructed using Neural Network Toolbox. Finally, the established model can output detection classification results when the test data is poured into the system. The simulation results show that the accuracy of the system is 88.71%. The proposed system has the advantages of high recognition rate and strong applicability.
【Fund】: 湖北省教育厅科学技术基金(No.B20122503)
【CateGory Index】: TP391.41;R739.5
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
【Citations】
Chinese Journal Full-text Database 1 Hits
1 CAI Li ,XU Xing (Tektronix (China) Co. Ltd, Shanghai 200040, China; Jiangsu University of Science and Technology. Zhenjiang 212003,China);Application of Network Toolbox of MATLAB to the Modeling of Nonlinear Control Systems[J];机电工程技术;2008-02
【Co-citations】
Chinese Journal Full-text Database 1 Hits
1 LIANG Yi,LIU Shi-hong(Agricultural Information Institute,Chinese Academy of Agricultural Sciences,Beijing 100081);Research on the Combined Forecast Model Method Based on BP Neural Network Improved by Genetic Algorithm[J];中国农业科学;2012-23
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved