Smart Healthcare's Medical Image Counterfeit Detection

Abstract

In the field of healthcare, new features are implemented as a result of the development of new technologies. The new features and facilities make it simple to access patients' medical records and provide them with accurate, real-time healthcare services. Health is a crucial aspect that requires extreme caution and safety. Since image counterfeiting is a major issue in the healthcare industry right now, image counterfeit detection has become critical. Medical image counterfeit detection requires more attention if patients are to gain their trust and avoid embarrassment. Before diagnosing a disease, it is necessary to identify an image counterfeit in a healthcare database. For the recognition of fake pictures another strategy is proposed by utilizing Altered Convolutional Brain Organization (CNN) calculation. In order to offer clients highly secured smart healthcare, this proposed algorithm will help identify counterfeit images with high accuracy and boost efficiency.