Lung Cancer Detection using VGG NET 16 Architecture

Abstract Cancer is one of the main reason for loss human life across world. All medical practitioners and researchers are dealing with demanding situations to fight against cancer. Based on report in 2019 from American Society, 96,480 deaths anticipated due skin cancers, 142,670 lung 42,260 breast 31,620 prostate 17,760 mind cancers. Initial detection most cancers has pinnacle precedence saving lives. This paper proposed a cancer using Deep Learning based VEE NET architecture. was famous models submitted ILSVRC-2014. Visual checkup manual practices used this venture various types diagnoses. guide interpretation scientific images that needs massive time intake notably susceptible mistakes. Thus, project, we apply deep learning algorithms identify its presence without need several consultations different doctors. leads an earlier prediction disease allows us take prior actions immediately avoid further consequences effective cheap manner avoiding error rate. In project determined. A web application developed as hospital where input x-ray image given detect