期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2016
卷号：5
期号：2
页码：0270-0275
出版社：Shri Pannalal Research Institute of Technolgy
摘要：HighResolution Computed Tomography or HRCTis a medical diagnostic test used for diagnosis and assessment of interstitial lung disease. Classification of lung tissue is an important factor for lung diseases prediction. Most of the existing system introduced different methods such as Wavelet Frames, support vector machines classifier, Isotropic Wavelet Frames for lung tissue classification. The existing methods are not able to produce high classification accuracy. To solve this problem, the patch-adaptive sparse approximation (PASA) algorithm is introduced for lung tissue classification. The various methods in this research analysis is implemented and evaluated in terms of different performance measures. The performance evaluation conducted were proved that the proposed mechanism achieves better result than the existing mechanism in terms of classification accuracy and precision.
