Lung Cancer Detection Using Deep Learning Techniques

Abstract

Lung cancer recognition and classification is the greatest way to increase the existence amount of the humans. early stage of cancer identification and providing proffer treatment can help the patient with great chance of recovery .though automatic identification lung nodule is very important work since, existing system is very time taking, expensive, and less accurate. Main objective of this paper is to classify tumours and nontumour cells in an efficient way. Deep Learning is one of the growing technologies in the artificial intelligence and computer vision field. we are Deep Learning technology to detect the lung cell using AlexNet Architecture and convolutional neural network(CNN)layer to provide the accurate result with the help Relu activation function.by using this method we got better result as compared to the previous papers.