Open AccessComputer System for Perception of Lung Cancer
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l1194.10812s19
Subject(s) - thresholding , cad , computer science , segmentation , matlab , artificial intelligence , feature (linguistics) , lung cancer , pattern recognition (psychology) , computer aided diagnosis , stage (stratigraphy) , set (abstract data type) , cancer , medicine , pathology , engineering drawing , engineering , paleontology , linguistics , philosophy , image (mathematics) , biology , programming language , operating system
Detection of cancer in its previous stages to increases survival rate of patient. CAD system is efficient because it take minimum time to detect weather the patient has cancer or not. It is very difficult for detection of lung cancer its earlier stage as it takes many tests. There are many of the CAD system which is designed for earlier detection of tumors. Many CAD systems have been designed in past for early detection of lung tumor. For segmentation purpose Thresholding is used and detection of area in which suspected tumor part growing algorithms is used. There are various factor is calculated using GLCM. Multilayer feed forward BPNN approaches for classify the feature set. Performance is calculated in form of mean square error (MSE) using BPNN. The CAD (computer aided diagnosis) model gives 90% true count. For implementation purpose MATLAB is used.