15 - Challenges and future directions in neutrosophic set-based medical image analysis

Abstract

Neutrosophic sets have rapidly become a flourishing technique for the analysis of medical images. They are able to handle inconsistency, indeterminacy, and uncertainty for reasoning and computing. It has been observed that neutrosophic expert systems are appropriate for research in the area of medical imaging. This chapter presents an overview of methods and models based on neutrosophic sets for medical image processing from low-level to higher-level analysis. The different types of medical imaging modalities are encapsulated while their benefits and shortcomings are discussed. Finally, recent neutrosophic state-of-the-art techniques for medical image analysis with a detailed description of open research challenges and directions are presented. Moreover, various neutrosophic-based image-processing methods such as thresholding, denoising, clustering, segmentation, and classification on various medical imaging modalities are reviewed.