Abstract: Lung cancer is one of the most lethal types of cancer. Thousands of people are affected by this type of cancer, and if they do not discover it in the early stages of the disease, the patient’s chances of survival will be very low. For the reasons suggested above and to help overcome this menace, early diagnosis with the help of artificial intelligence methods is most needed. Also, it is one of the most common and contributes to death among all cancers. It is worth mentioning that CNN models are more advanced in diagnosing diseases like lung cancer because of the superior performance and power of CNNs. This system presents a method that uses a convolutional neural network (CNN) to classify cancer found in the lung as malignant or benign. This has been done by applying convolutional neural network techniques to a data set of lung cancer CT scans.

Keywords: Video Game, Data Science, Data Analysis, Machine learning, Data visualization, LR, RFC, One HOT Encoding

Works Cited:

Fatema Akter, Samsunnahar Tamanna, Shaikh Shariful Habib " The CNN Approach for the Lung Cancer Detection in Image Processing and Determining Whether Cancer is Caused by Smoking", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 7, pp. 51-59, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.12709

PDF | DOI: 10.17148/IJARCCE.2023.12709

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