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What is Lung Cancer Detection Using GKNN Algorithm about?

This paper presents a Genetic K-Nearest Neighbour (GKNN) algorithm for early detection of lung cancer using CT images. The method combines genetic algorithms with K-NN classification to optimize the identification of nodules, achieving a classification accuracy of 90%. The approach includes pre-processing, feature extraction using Gabor filters, and performance analysis of the classification rates and false positive rates.

Author

S.L. SONIYA CSE

Language

EN