In the field of medical diagnosis and detection, computer-aided diagnosis and detection is a vibrant research topic that is gaining popularity. Computer scientists have proposed and created an extensive variety of AI procedures for the identification and diagnosis of illnesses like cancer, lung conditions, rheumatoid arthritis, diabetic retinopathy, heart conditions, Alzheimer's disease, hepatitis, dengue, liver disease, and Parkinson's disease. Modern machine learning scholars have recognized two problems that need to be addressed: increased perception accuracy and disease diagnosis. In terms of diagnosing diseases, deep learning procedures are better than conventional computation methods. Having the capacity to alter their hyper-parameters as new data becomes available, deep learning makes use of massive neural networks with the connected neurons.