| Description |
1 online resource |
|
text file |
| Note |
<P>1. Introduction to Neutrosophy and Neutrosophic Environment 2. Advanced Neutrosophic Set in Microscopic Image Analysis 3. Advanced Neutrosophic Set based Ultrasound Image Analysis 4. Neutrosophic Set in Medical Image De-Noising 5. Advanced Optimization based Neutrosophic Set for Medical Image Denoising 6. Neutrosophic Set based Denoising of Optical Coherence Tomography Images 7. A Survey of Neutrosophic Medical Image Segmentation 8. Neutrosophic Set in Medical Image Clustering 9. Optimization based Neutrosophic Set 10. Neutrosophic Hough Transform for Blood Cells Nuclei Detection 11. Neutrosophic Set in Dermoscopic Medical Image Segmentation 12. Neutrosophic Similarity Score Based Entropy Measure for Focal and Non-Focal 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</p> |
| Summary |
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. |
| Subject |
Diagnostic imaging -- Mathematics.
|
|
Fuzzy sets.
|
|
Neutrosophic logic.
|
|
Mathematical models.
|
|
Image Processing, Computer-Assisted -- methods |
|
Fuzzy Logic |
|
Models, Theoretical |
|
Imagerie pour le diagnostic -- Mathématiques. |
|
Ensembles flous. |
|
Modèles mathématiques. |
|
mathematical models. |
|
Mathematical models |
|
Diagnostic imaging -- Mathematics |
|
Fuzzy sets |
|
Neutrosophic logic |
| Added Author |
Guo, Yanhui, editor.
|
|
Ashour, Anan, 1984- editor.
|
| Other Form: |
Print version 9780128181485 |
| ISBN |
9780128181492 (ePub ebook) |
|
0128181494 (ePub ebook) |
|
(pbk.) |
|
More Resources