Lung cancer detection with prediction employing machine learning algorithms

2020 International Journal of Advanced Trends in Computer Science and Engineering  
Lung cancer-related deaths are increasing globally every year. The prediction of the onset of cancer in patients can help doctors in the process of decision making regarding their medications and treatments. This paper proposed a novel system which is capable of detecting and predicting the presence of cancerous nodules in the patient's lungs. The proposed system employs machine learning algorithms like support vector machine (SVM) and deep learning algorithm like convolutional neural network
more » ... NN), to perform the classification, using an extensive lung cancer repository database namely, the UCI repository. In the first stage of cleaning of images, they are pre-processed and further post-processed. The pre-processing step includes RGB to grey scale conversion and further removal of noise is achieved by using Non-Local Means (NLM) filter. In the second stage of development image segmentation has been realized using Otsu's algorithm and feature extraction has been realized with the help of Grey Level Co-occurrence Matrix (GLCM). Finally, lung cancerous images are classified using the two classifiers and the accuracy of their classifications are being compared and tabulated. .
doi:10.30534/ijatcse/2020/97952020 fatcat:ozfh3hsq7re7bg7dhoe6shl3q4