Title :
Feature extraction and classification of brain CT image based on sound logic
Author :
Jialin, Chen ; Huacan, He
Author_Institution :
Center for Intell. Sci. & Technol. Res., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
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.
Keywords :
brain; computerised tomography; decision trees; feature extraction; fuzzy logic; image classification; medical image processing; brain CT image; diagnostic accuracy; feature extraction; flexible logic; fuzzy decision tree; image classification; sound logic; Clustering algorithms; Computed tomography; Decision trees; Feature extraction; Fuzzy logic; Helium; Logic testing; Mutual information; Shape; Tree data structures; Sound logic; fuzzy decision tree; matching operator; testing accuracy;
Conference_Titel :
Broadband Network & Multimedia Technology, 2009. IC-BNMT '09. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4590-5
Electronic_ISBN :
978-1-4244-4591-2
DOI :
10.1109/ICBNMT.2009.5347803