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Cloud computing for providing electronic service for skin health

The response time of the server in operation in the (3 G) mobile phones is 5.45 seconds which is acceptable and appropriate as far as medical diagnosis is concerned. | Journal of Automation and Control Engineering Vol. 4, No. 4, August 2016 Cloud Computing for Providing Electronic Service for Skin Health Saeed Ayat and M. Mohammadi Khoroushani Department of Computer Engineering and Information Technology, Payame Noor University, Esfahan, Iran Email: dr.ayat@pnu.ac.ir, mr_mohammadi@of.iut.ac.ir Windows Azure providing electronic services for skin health (Tele dermatology). Abstract—This paper proposes a new software for separation of skin lesion based on cloud computing. The objective of this system is to provide electronic services for initial dermatologic detections based on electronic function principles accessible at all times, all spaces, while being accurate, fast and low cost applicable by observing the security and confidentiality principles. The conducted assessments regarding the accuracy of the system’s detections, applicability and user satisfaction indicate success with 89% in detection accuracy and 89% user satisfaction with respect to the systems usability, accessibility, easiness, response time and detection accuracy. The response time of the server in operation in the (3 G) mobile phones is 5.45 seconds which is acceptable and appropriate as far as medical diagnosis is concerned. II. The server software is ranked in the 'Software as a service' of the cloud computing [1]. The users (experts of the field), by becoming members of this electronic service will benefit. As observed in Fig. 1 the software service consists of two beginning and end sections. The server software is ranked in the 'Software as a service' of the cloud computing [1]. The users (experts of the field), by becoming members of this electronic service will benefit. As observed in Fig. 1 the software service consists of two beginning and end sections. Index Terms—skin lesion, medical diagnosis, computing, content-based image retrieval I. cloud A. The Beginning Section This is where the end user has collaborated with. This section is .