Authors : S.R. Bhavani, M.E.A. Chilambuchelvan and J. Senthilkumar
Abstract: Breast cancer is commonly found among aged women and ranks second in women mortality all over the world as per World Health Organization (WHO). Here, we propose a novel method using cloud paradigm in diagnosing mammogram images for breast cancer with security. The transmission of patients’ medical data in to the cloud infrastructure may bring about a few dangers as far as security and protection is concerned. The main focus is to quantify the performance and utilization of secure cloud-based intelligent medical diagnosis framework in the point of view of patients and experts. This proto type attains high sensitivity up to 99.09%, specificity up to 92.85% and accuracy of up to 98.4%. The performance of the CSIMIDx framework with respect to high users and low users is given as security and privacy of the prototype (p = 0.87), usefulness of the prototype (p = 0.62), ease of navigation (p = 0.90), user friendliness evaluation (p = 0.97) and overall satisfaction (p = 0.33).
S.R. Bhavani, M.E.A. Chilambuchelvan and J. Senthilkumar, 2016. CSIMIDx: A Prototype for Cloud-Based Secure Intelligent System for Medical Image Classification. Asian Journal of Information Technology, 15: 567-577.