Lung Cancer Detection Using Convolutional Neural Networks

Abstract

Lung cancer is one of the most common diseases occurring nowadays. if we don't find it in the early stages it is hard to survive. Lakhs of people suffering today with this lung cancer and they don't know in the early stages as symptoms changes for person to person in order to overcome from this we are taking help of AI and deep learning for diagnosis of lung cancer where the survival rate will be more if they don't detect in the early stage the survival chances are less and contributing deaths are more. CNN is a model which is easy to diagnose the cancers also called as convNETs the advantage of using CNN is due to its higher performance and accurate. CNN is more efficient in terms of its applications. A tumor is defined as the lumps of tissue when dead cells are not replaced with new cells. CNN or convNET relegated the lumps of tissue is a malignant and benign. A malignant is a serious kind of disease called as cancerous. This work shows accuracy of 99.7% using CNN technique so here we applied input dataset of CT scans using convolutional neural network.