TY - BOOK ID - 49793235 TI - Neutrosophic set in medical image analysis AU - Guo, Yanhui AU - Ashour, Amira PY - 2019 SN - 0128181494 0128181486 9780128181492 9780128181485 PB - London, England : Elsevier : Academic Press, DB - UniCat KW - Diagnostic imaging KW - Mathematics. KW - Fuzzy sets. KW - Neutrosophic logic. KW - Image Processing, Computer-Assisted KW - Fuzzy Logic. KW - Models, Theoretical. KW - methods. KW - Experimental Model KW - Experimental Models KW - Mathematical Model KW - Model, Experimental KW - Models (Theoretical) KW - Models, Experimental KW - Models, Theoretic KW - Theoretical Study KW - Mathematical Models KW - Model (Theoretical) KW - Model, Mathematical KW - Model, Theoretical KW - Models, Mathematical KW - Studies, Theoretical KW - Study, Theoretical KW - Theoretical Model KW - Theoretical Models KW - Theoretical Studies KW - Computer Simulation KW - Systems Theory KW - Logic, Fuzzy KW - Smarandache logic KW - Fuzzy logic KW - Sets, Fuzzy KW - Fuzzy mathematics KW - Set theory KW - Clinical imaging KW - Imaging, Diagnostic KW - Medical diagnostic imaging KW - Medical imaging KW - Noninvasive medical imaging KW - Diagnosis, Noninvasive KW - Imaging systems in medicine UR - https://www.unicat.be/uniCat?func=search&query=sysid:49793235 AB - 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. Introduces the mathematical model and concepts of neutrosophic theory and methods Highlights the different techniques of neutrosophic theory, focusing on applying the neutrosophic set in image analysis to support computer- aided diagnosis (CAD) systems, including approaches from soft computing and machine learning Shows how NS techniques can be applied to medical image denoising, segmentation and classification Provides challenges and future directions in neutrosophic set based medical image analysis ER -