Artificial Intelligence - Intelligent Lungs Cancer Detection Using Logistic Regression and Support Vector Machine

Abstract - Lung cancer remains one of the leading causes of cancer related deaths worldwide, largely due to late-stage diagnosis. This project presents a machine learning-based system for the early detection of lung cancer using CT and X- ray images. The system utilizes two supervised learning algorithms Logistic Regression and Support Vector Machine (SVM) to classify lung images as either normal or cancerous. Key preprocessing steps, including grayscale conversion, resizing, normalization, and flattening, is applied to standardize the input data.