Abstract: Lung cancer is a highly fatal disease and remains difficult to detect in its early stages. It causes a significant number of deaths across both genders. To improve early detection, various machine learning techniques have been explored. This study presents a comparative evaluation of different machine learning methods for lung cancer detection, focusing on deep learning techniques, particularly AlexNet. The system processes lung CT images to classify them as cancerous.......
Keywords: Deep learning, Logistic Regression, Random Forest Classifier, Light Gradient Machine, AlexNet, Lung Cancer Detection.
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