Neutrosophic set in medical image analysis:
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...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Weitere beteiligte Personen: | |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Amsterdam
Academic Press
2019
San Diego Elsevier Science & Technology 2019 |
| Ausgabe: | 1st edition. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9780128181492/?ar |
| Zusammenfassung: | 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. |
| Beschreibung: | <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>. - CIP data; resource not viewed |
| Umfang: | 1 Online-Ressource |
| ISBN: | 9780128181492 0128181494 |
Internformat
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| 500 | |a <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>. - CIP data; resource not viewed | ||
| 520 | |a 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. | ||
| 650 | 0 | |a Diagnostic imaging |x Mathematics | |
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| 650 | 2 | |a Fuzzy Logic | |
| 650 | 2 | |a Models, Theoretical | |
| 650 | 4 | |a Imagerie pour le diagnostic ; Mathématiques | |
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| id | ZDB-30-ORH-048583847 |
| illustrated | Not Illustrated |
| indexdate | 2025-01-17T11:20:54Z |
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| isbn | 9780128181492 0128181494 |
| language | English |
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| publishDate | 2019 |
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| publisher | Academic Press Elsevier Science & Technology |
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| spelling | Guo, Yanhui VerfasserIn aut Neutrosophic set in medical image analysis edited by Yanhui Guo, Amira Salah Ashour 1st edition. Amsterdam Academic Press 2019 San Diego Elsevier Science & Technology 2019 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <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>. - CIP data; resource not viewed 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. 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 Diagnostic imaging ; Mathematics Ashour, Anan 1984- HerausgeberIn edt 9780128181485 Erscheint auch als Druck-Ausgabe 9780128181485 |
| spellingShingle | Guo, Yanhui Neutrosophic set in medical image analysis 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 Diagnostic imaging ; Mathematics |
| title | Neutrosophic set in medical image analysis |
| title_auth | Neutrosophic set in medical image analysis |
| title_exact_search | Neutrosophic set in medical image analysis |
| title_full | Neutrosophic set in medical image analysis edited by Yanhui Guo, Amira Salah Ashour |
| title_fullStr | Neutrosophic set in medical image analysis edited by Yanhui Guo, Amira Salah Ashour |
| title_full_unstemmed | Neutrosophic set in medical image analysis edited by Yanhui Guo, Amira Salah Ashour |
| title_short | Neutrosophic set in medical image analysis |
| title_sort | neutrosophic set in medical image analysis |
| topic | 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 Diagnostic imaging ; Mathematics |
| topic_facet | 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 Diagnostic imaging ; Mathematics |
| work_keys_str_mv | AT guoyanhui neutrosophicsetinmedicalimageanalysis AT ashouranan neutrosophicsetinmedicalimageanalysis |