Deep Learning Predictive Model for Colon Cancer Patient using CNN-based Classification

In recent years, the area of Medicine and Healthcare has made significant advances with assistance computational technology. During this time, new diagnostic techniques were developed. Cancer is world's second-largest cause mortality, claiming lives one out every six individuals. The colon cancer variation most frequent lethal numerous kinds cancer. Identifying illness at an early stage, on other hand, substantially increases odds survival. A diagnosis may be automated by using power Artificial Intelligence (AI), allowing us to evaluate more cases in less time a lower cost. research, CNN models are employed analyse imaging data cells. For cell image classification, max pooling average layers MobileNetV2 utilized. To determine learning rate, trained evaluated various Epochs. It's found that accuracy 97.49% 95.48%, respectively. And outperforms two remarkable 99.67% loss rate 1.24.