Real-time detection of Lung cancer using CNN

One of the leading causes of mortality worldwide is Lung cancer, and early identification is important for successful treatment. Deep Learning Technologies Convolutional Neural Networks (CNNs) have recently exhibited significant guarantees in medical image refining. This research paper offers a real-time lung cancer recognition method based on a CNN. The suggested method takes a digitised chest CT picture as input and goes through several preprocessing protocols before submitting it to the CNN. The CNN model was trained on a huge dataset of chest CT pictures categorised as malignant or non-cancerous. The suggested approach detected lung cancer with good accuracy and sensitivity using CT pictures. The real-time system can process CTT pictures in a couple of seconds, which can be a significant advantage in clinical settings where a timely diagnosis is crucial. This study shows the accuracy and efficiency of a lung cancer diagnosis can be improved using CNN Deep learning technology.