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Full 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.
Contents
1. Introduction to neutrosophy and neutrosophic environment
2. Advanced neutrosophic sets in Microscopic Image Analysis
3. Advanced neutrosophic set-based ultrasound image analysis
4. Neutrosophic set in medical image denoising
5. Advanced optimization-based neutrosophic sets for medical image denoising
6. Neutrosophic set-based denoising of optical coherence tomography images
7. A survey on neutrosophic medical image segmentation
8. Neutrosophic set in medical image clustering
9. Optimization-based neutrosophic set for medical image processing
10. Neutrosophic hough transform for blood cells nuclei detection
11. Neutrosophic sets in dermoscopic medical image segmentation
12. Neutrosophic similarity score-based entropy measure for focal and nonfocal electroencephalogram signal classification
13. Neutrosophic multiple deep convolutional neural network for skin dermoscopic image classification
14. Neutrosophic set-based deep learning in mammogram analysis
15. Challenges and future directions in neutrosophic set-based medical image analysis
