LUNG CANCER CLASSIFICATION USING KNN CLASSIFIER

1Bana Vishnu Vardhan Reddy, R. Puviarasi

145 Views
51 Downloads
Abstract:

Lung cancer is a cancer of the lungs that starts. Two spongy organs in your chest are your lungs, which you ingest inhaling oxygen and releasing carbon dioxide as you exhaust. In the early stages of lung cancer, it does not usually cause signs or symptoms. Lung cancer symptoms and signs typically arise as the disease progresses. The early diagnosis is required for lung cancer classification. In this study, the automatic classification of lung cancer classification system is discussed. Initially, the input images are given to energy featurefor feature extraction and K-Nearest Neighbor (KNN) classifier is used for classification. The performance of proposed system produces the classification accuracy of 91%using KNN classifier.

Keywords:

Lung cancer classification, Energy feature extraction, KNN classifier

Paper Details
Month2
Year2020
Volume24
IssueIssue 2
Pages5684-5686