Computational Aspects for Clinical Diagnostics and Decision making in Heathcare using Biomedical Signal and Image
The role of computational methods using computer vision, AI , soft computing based techniques are now a days well established in technology for automation in heath care. This supports the accuracy in clinical procedure for diagnosis , categorization, and prognosis of diseases in tissue levels for both macro and micro systems. Co ordination of knowledge from the biological aspects for diseased part of tissue region with machine understanding is a requirement for health care automation. For this purpose the urge for development of robust computation which may co - relate the clinical information and therapeutic decision through mathematical models is goal and aim for this workshop. Through this workshop we like to attract the researcher/ scientists working with technology relevant for decision making in healthcare using biomedical signal and image as well for macro and also for the microscopic cell level.