Lung Cancer Detection Using X-RAY Image

Computer Engineering

ABSTRACT The majority of cancer diseases, including lung cancer, are a global problem. If such sickness is not treated quickly, it might result in fatalities. In order to avoid this consequence, an early, advanced diagnosis is needed. Artificial intelligence and other modern technology can help us find this fatal malignancy. The most crucial convolution neural network in artificial intelligence is able to quickly and accurately diagnose the kind of cancer. Therefore, we considered a number of research papers when writing this study and discovered that convolutional neural networks are more frequently used in lung cancer than any other deep learning techniques. The great accuracy of our article, together with its sensitivity and specificity, will be its primary focus. Lung cancer is one of the most common cancers that we encounter globally. Such diseases must be treated quickly; otherwise, fatalities might result. Therefore, early, advanced diagnosis is needed to treat this problem. We can find this lethal disease with the use of contemporary technology like artificial intelligence. Artificial intelligence techniques are the most significant convolution neural network that can quickly and accurately diagnose the kind of cancer. As a result, we observed that convolutional neural networks are more frequently used in lung cancer treatment than any other deep learning method in this study after considering several research papers. Excellent accuracy, sensitivity, and specificity will be the primary emphasis of our paper. Using all these meths, we had chosen this project to save lives, detect the lung models, and specify the needs of the particular needs here

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