DETECTION OF STOMACH CANCER USING DEEP NEURAL NETWORK IN HEALTH CARE SECTOR

The efficiency of seed yield decreases in cancer in the field of healthcare. Therefore, it is automatically possible to recognize cancers in order to increase the yield in farming. The majority of the system, however, is affected by the inability to detect due to different cancer patterns. We introduce in this paper a computer vision model that helps create a system for acquiring images in real time, extracting features and classifying the images. The grader determines whether the cancer is diseased or not. For the classification of images in real time, we use Deep neural network (DNN). Cancer experimental findings demonstrate that the classification rate for the proposed method is higher than other existing methods.