Classification of normal and abnormal images of lung cancer

[摘要] To find the exact symptoms of lung cancer is difficult, because of the formation of the most cancers tissues, wherein large structure of tissues is intersect in a different way. This problem can be evaluated with the help of digital images. In this strategy images will be examined with basic operation of PCA Algorithm. In this paper, GLCM method is used for pre-processing of the snap shots and function extraction system and to test the level of diseases of a patient in its premature stage get to know it is regular or unusual. With the help of result stage of cancer will be evaluated. With the help of dataset and result survival rate of cancer patient can be estimated. Result is based totally on the precise and wrong arrangement of the patterns of tissues.

[发布机构] School of Computer Science and Engineering, VIT University, Vellore; 632014, India^1

[效力级别] 工业技术

[关键词] Basic operation;Cancer patients;Digital image;Function extraction;Large structures;PCA algorithms;Pre-processing;Survival rate