FEATURE EXTRACTION AND CLASSIFICATION OF BRAIN CT IMAGE BASED ON SOUND LOGIC
This paper discusses properties of sound logic based on flexible logic. In the practical application of fuzzy decision tree, algorithm of matching operator in the fuzzy decision tree is improved based on sound logic. In order to get the best combination of the features, the algorithm that extracts the shape feature considering the adjacent parts is proposed based on the idea of chart transferring tree in the tree structure comprehensively. Compared with the traditional extracting algorithms which aim at the whole picture or a single part, the experiments by examination and analysis of clinical cases show that the proposed algorithm can obtain a higher diagnostic accuracy.
Sound logic fuzzy decision tree matching operator testing accuracy
Chen Jialin He Huacan
Center for Intelligence Science and Technology Research,Beijing University of Posts and Telecommunications, Beijing
国际会议
北京
英文
868-872
2009-10-18(万方平台首次上网日期,不代表论文的发表时间)