Description:
Neutrosophic Set in Medical Image Analysis gives an understanding of the concepts of NS, along with knowledge on how to gather, interpret, analyze and handle medical images using NS methods. It presents the latest cutting-edge research that gives insight into neutrosophic set's novel techniques, strategies and challenges, showing how it can be used in biomedical diagnoses systems. The neutrosophic set (NS), which is a generalization of fuzzy set, offers the prospect of overcoming the restrictions of fuzzy-based approaches to medical image analysis.
Brief description: Yanhui Guo is currently an Assistant professor in the Department of Computer Science at the University of Illinois at Springfield, USA. He received his B. S. degree in Automatic Control from Zhengzhou University, China, M.S. degree in Pattern Recognition and Intelligence System from Harbin Institute of Technology, China, and Ph.D. degree in the Department of Computer Science, Utah State University, USA. Dr. Guo has published more than 80 journal papers and 30 top conference papers, completed 11 grant funded research projects, and worked as an associate editor of different international journals, reviewers for top journals and conferences. His research area includes neutrosophic theory, computer vision, machine learning, big data analytics, computer aided detection/diagnosis, and computer assist surgery.