Prediction of Lung Cancer Using Machine Learning

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With the highest cancer-related mortality, lung cancer is one of the most dangerous and difficult cancers to identify. Over time, machine learning techniques have been used in medical research, and many significant developments have been made in cancer research for decades. There have been a lot of machine learning algorithms that could significantly help in feature extraction and other radiological analysis. With the help of available datasets from research organizations, it is made possible easily. In this study, we built a system with the help of the YOLO algorithm that uses CNN to predict lung cancer from the fed datasets of cancerous and non-cancerous CT scans.