Cancer Diagnosis based on Artificial Intelligence, Machine Learning, and Deep Learning

Since cancer is a genetic disease induced by the gradual accumulation of several genetic modifications, it will provide a better forum for understanding the cancer formation and development process to recognize the variations in the expression profile of cancer cells compared to their normal counterparts. Developments in computer science have allowed many scientists to use computer techniques. For instance, multivariable analysis in order to assess the accuracy of the disease is substantially higher than the accuracy of empirical forecasts. As the most common applications have been discovered in recent years in clinical cancer research, artificial intelligence (AI), and specifically machine learning (ML) and deep learning (DL), the success of new levels of cancer prediction have reached based on the selection of genes and in the study of microdata. This paper discusses and summarizes the literature on AI’s application for three cancer diagnoses and projections, namely oral, lung and breast cancer. Different experiments are analyzed for the various types of systems that are used to detect cancer early. This paper, therefore, gives a new insight in AI technology in order to enhance the diagnosis and prediction of cancer and further increase health.