Medical Image Counterfeit Detection for Smart Healthcare
S.K. Kabilesh, K. Revathi, K. Sabitha, N. Sujithkumar · Zenodo (CERN European Organization for Nuclear Research) · 2020
With the invention of new technologies, new features are implemented in the field of healthcare. The new features and facilities provide easy to access the medical records, accurate and real time healthcare service to clients. Health is an important aspect we should take care with high caution and security. Nowadays image counterfeit is major problem occurring in the field of healthcare, so image counterfeit detection has become vital in the area of healthcare. To acquire the faith of patients and to avoid their embarrassment more attention is needed in the area of medical image counterfeit detection. If there is an image counterfeit in a healthcare database it must be detected before the diagnostic of a disease. For the detection of counterfeit images a new method is proposed by using Modified Convolutional Neural Network (CNN) algorithm. With the use of this proposed algorithm counterfeit image is identified with high accuracy and efficiency will be improved to provide highly secured smart healthcare to the clients.