The Cancer Detection using Deep Learning: A Survey

Cancer Detection using Deep Learning: A Survey

Abstract

Cancer refers to a group of diseases that are defined by abnormal cell proliferation and can spread to other parts of the body. Pancreatic cancer originates in the organ behind the lower stomach called the pancreas. The pancreas secretes digestive enzymes as well as hormones that help regulate sugar metabolism. Pancreas cancer is usually discovered late, spreads quickly, and has a poor prognosis. Cancer-specific symptoms may not appear until later stages, and there are no reliable screening techniques to identify high-risk patients. The manual method of checking whether a patient has Pancreatic cancer or not can be time-consuming and it can be tedious because it required experience in Radiologist interpretation; to avoid poor decisions by giving wrong diagnoses to patients. One of the leading causes of cancer death is pancreatic cancer; however, if found early enough, it can be treated. To solve this issue, an Artificial Neural Network (ANN) has been developed, trained, and tested using an abdominal Computed Tomography (CT) scan images dataset to detect pancreatic tumors by many authors. To detect the tumor, it employs image processing techniques of a convolution neural network to detect the tumorous area in the image after it has been pre-processed. It was observed that the technique gives better accuracy in tumor detection.