LEADER 00000cam a2200733 i 4500 003 OCoLC 005 20240129213017.0 006 m o d 007 cr ||||||||||| 008 190807s2019 ne o 000 0 eng 015 GBB9E0090|2bnb 016 7 019504446|2Uk 020 9780128181492|q(ePub ebook) 020 0128181494|q(ePub ebook) 020 |q(pbk.) 029 0 AU@|b000065959432 029 1 AU@|b000066232150 029 1 AU@|b000066355206 029 1 AU@|b000067105513 035 (OCoLC)1127829624 037 9780128181492|bIngram Content Group 040 AU@|beng|erda|cAU@|dOCLCF|dOCLCO|dYDX|dDST|dOCLCO|dOCL |dOCLCQ|dOCLCO|dOCLCL 049 INap 082 04 616.0754015113223 082 04 616.0754015113223|223 099 eBook O'Reilly for Public Libraries 100 1 Guo, Yanhui,|eauthor. 245 10 Neutrosophic set in medical image analysis /|cedited by Yanhui Guo, Amira Salah Ashour.|h[O'Reilly electronic resource] 250 1st edition. 264 1 Amsterdam :|bAcademic Press,|c2019. 264 1 San Diego :|bElsevier Science & Technology,|c2019. 300 1 online resource 336 text|btxt|2rdacontent 337 computer|bc|2rdamedia 338 online resource|bcr|2rdacarrier 347 text file 500 <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> 520 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. 542 |fCopyright ©: Elsevier Science & Technology|g2019 588 0 CIP data; resource not viewed 590 O'Reilly|bO'Reilly Online Learning: Academic/Public Library Edition 650 0 Diagnostic imaging|xMathematics. 650 0 Fuzzy sets. 650 0 Neutrosophic logic. 650 0 Mathematical models. 650 6 Imagerie pour le diagnostic|xMathématiques. 650 6 Ensembles flous. 650 6 Modèles mathématiques. 650 7 mathematical models.|2aat 650 7 Mathematical models|2fast 650 7 Diagnostic imaging|xMathematics|2fast 650 7 Fuzzy sets|2fast 650 7 Neutrosophic logic|2fast 650 12 Image Processing, Computer-Assisted|xmethods 650 22 Fuzzy Logic 650 22 Models, Theoretical 700 1 Guo, Yanhui,|eeditor. 700 1 Ashour, Anan,|d1984-|eeditor.|1https://id.oclc.org/ worldcat/entity/E39PCjGtkHVgc7tRFMgtjDfdYq 776 08 |iPrint version|z9780128181485 856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https:// learning.oreilly.com/library/view/~/9780128181492/?ar |zAvailable on O'Reilly for Public Libraries 936 BATCHLOAD 938 YBP Library Services|bYANK|n300758957 994 92|bJFN