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Abstract

Lung Cancer may be a variety of Cancer that begins in the Lungs because of those that smokes often. However, there Area unit rare probabilities those area unit non-smokers get Affected because of unhealthy pollution and Harmful gasses. The detection of tumor is incredibly vital that helps to detect affected neoplasm areas in the lungs. Computed tomography help us to understand the cancer positions in patients. The detection of cancer tumours are performed by scanning the images of computed tomography. Lung cancer identification system goes with a method of Morphological opening and Gray level co-occurrence matrix (GLCM) feature extraction and Normalized cross-correlation with patches Analysis. Lung cancer classification using Linear Discriminant Analysis (LDA) gives good results of Accuracy of 81.81%. Patch Analysis is a new method to find lung cancer.

Keywords

Connected Component Analysis Gray level co-occurrence matrix Gaussian Smoothing Morphological opening Normalized Cross-Correlation Naive Bayes Region of Interest

Article Details

How to Cite
Shobha Rani N, Rakshitha B S, & Rohith V. (2019). Patch analysis based lung cancer classification. International Journal of Research in Pharmaceutical Sciences, 10(3), 2163-2173. https://doi.org/10.26452/ijrps.v10i3.1443