Lung Cancer Detection Using Deep Convolutional Neural Network

Abstract

Lung cancer is one of the significant cause of death across the globe. Early detection is necessary for reducing the risk of death. A computer aided diagnosis (CADx) system uses CT scan images with help of convolution neural network. Over last 10 years the survival rate has been increased to 17.8% due to early age detection. Digital image processing (DIP) are carried using MATLAB . Median filtering is an image processing technique is used to improving the contrast in the image and remove noise. Input data sets are provided to and used in differentiate between the aspects of the image. It is used to reduce the image in the form easier to process without losing any feature so that we can get good predications. By comparing with data sets and input image we can get to know if lung is cancerous or noncancerous.