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. Neutrosophic Set in Medical Image Analysis gives an understanding of the concepts of NS together with knowledge on how to gather, interpret, analyse, 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. Introduces the mathematical model and concepts of neutrosophic theory and methods Highlights the different techniques of neutrosophic theory with focusing on applying the neutrosophic set in image analysis to support computer- aided diagnosis (CAD) systems, including approaches from soft computing, and machine learning as well as optimization algorithms for developing NS techniques in different medical applications Shows how NS techniques can be applied to medical image denoising, segmentation and classification Takes a multi-disciplinary approach with different applications of medical image analysis to achieve accurate diagnosis Provides challenges and future directions in neutrosophic set based medical image analysis.