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.- 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
Table of Contents
1. Introduction to neutrosophy and neutrosophic environment2. Advanced neutrosophic sets in Microscopic Image Analysis3. Advanced neutrosophic set-based ultrasound image analysis4. Neutrosophic set in medical image denoising5. Advanced optimization-based neutrosophic sets for medical image denoising6. Neutrosophic set-based denoising of optical coherence tomography images7. A survey on neutrosophic medical image segmentation8. Neutrosophic set in medical image clustering9. Optimization-based neutrosophic set for medical image processing10. Neutrosophic hough transform for blood cells nuclei detection11. Neutrosophic sets in dermoscopic medical image segmentation12. Neutrosophic similarity score-based entropy measure for focal and nonfocal electroencephalogram signal classification13. Neutrosophic multiple deep convolutional neural network for skin dermoscopic image classification14. Neutrosophic set-based deep learning in mammogram analysis15. Challenges and future directions in neutrosophic set-based medical image analysis
