Privacy Protection of Patient Medical Images using Digital Watermarking Technique for E-healthcare System.

Background: Privacy protection has been a critical issue in the delivery of medical images for telemedicine, e-health care and other remote medical systems.

Objectives: The aim of this proposed work is to implement a secure, reversible, digital watermarking technique for the transmission of medical data remotely in health care systems.

Methods: In this research work, we employed a novel optimized digital watermarking scheme using discrete wavelet transform and singular value decomposition using cuckoo search algorithm based on Lévy flight for embedding watermark into the grayscale medical images of the patient.

Computer-assisted medical image classification for early diagnosis of oral cancer employing deep learning algorithm.

Purpose: Oral cancer is a complex wide spread cancer, which has high severity. Using advanced technology and deep learning algorithm early detection and classification are made possible. Medical imaging technique, computer-aided diagnosis and detection can make potential changes in cancer treatment.