02733oam 2200649I 450 991045301330332120200520144314.00-429-08715-2981-4364-46-010.1201/b14781 (CKB)2550000001100899(OCoLC)895722556(CaPaEBR)ebrary11007136(SSID)ssj0000885276(PQKBManifestationID)11536555(PQKBTitleCode)TC0000885276(PQKBWorkID)10947137(PQKB)10793171(MiAaPQ)EBC1220124(Au-PeEL)EBL1220124(CaPaEBR)ebr11007136(CaONFJC)MIL502284(OCoLC)853360721(OCoLC)848162560(EXLCZ)99255000000110089920180331d2013 uy 0engurcnu||||||||txtccrEngineering of polysaccharide materials by phosphorylase-catalyzed enzymatic chain-elongation /Jun-ichi Kadokawa, Yoshiro KanekoFirst edition.Singapore :Pan Stanford Pub.,2013.1 online resource (140 p.)Bibliographic Level Mode of Issuance: Monograph1-299-71033-6 981-4364-45-2 Includes bibliographical references at the end of each chapters.1. Introduction -- 2. General scope for enzymatic tools in engineering of polysaccharide materials -- 3. Phosphorylase-catalyzed enzymatic glycosylation -- 4. Phosphorylase-catalyzed enzymatic polymerization -- 5. Chemoenzymatic synthesis of amylose-grafted synthetic polymers by utilizing phosphorylase catalysis -- 6. Chemoenzymatic synthesis of amylose-grafted biopolymers by utilizing phosphorylase catalysis -- 7. Preparation of amylose-polymer inclusion complexes in phosphorylase-catalyzed enzymatic polymerization (vine-twining polymerization) -- 8. Extension of vine-twining polymerization by phosphorylase catalysis -- 9. Carbohydrate engineering by phosphorylase catalysis -- 10. Preparation of amylose-based nanomaterials by phosphorylase catalysis.PolysaccharidesSynthesisPolymerizationChemical engineeringElectronic books.PolysaccharidesSynthesis.Polymerization.Chemical engineering.547.782Kadokawa Jun-ichi.945707Kaneko Yoshiro945708MiAaPQMiAaPQMiAaPQBOOK9910453013303321Engineering of polysaccharide materials2135547UNINA01109cam a22002894a 450099100017103970753620250707150732.0060612s2006 it a b 001 0bita d20064240938822053605b13822135-39ule_instDip.to Studi storiciita366Guarino, Mario<1940- >23346Gli anni del disonore :dal 1965 il potere occulto di Licio Gelli e della Loggia P2 tra affari, scandali e stragi /Mario Guarino, Fedora RaugeiBari :Dedalo,2006405 p. :ill. ;21 cm.Strumenti/scenari ;60Gelli, LicioMassoneriaLoggia P2Raugei, Fedoraauthorhttp://id.loc.gov/vocabulary/relators/aut596537.b1382213510-06-2207-04-09991000171039707536LE023 366 GUA 1 112023000109069le023-E17.00-l-02020.i1495177007-04-09Anni del disonore990116UNISALENTOle023le02807-04-09ma-itait4004156nam 22006975 450 991100748220332120250601130234.0981-9676-02-910.1007/978-981-96-7602-6(CKB)39160752200041(MiAaPQ)EBC32142926(Au-PeEL)EBL32142926(DE-He213)978-981-96-7602-6(EXLCZ)993916075220004120250601d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierAdvanced Image Fusion Techniques for Medical Imaging Trends, Applications, and Future Directions /by Palani Thanaraj Krishnan, Vijayarajan Rajangam1st ed. 2025.Singapore :Springer Nature Singapore :Imprint: Springer,2025.1 online resource (139 pages)981-9676-01-0 -- Chapter 1: Introduction to Image Fusion in Medical Image Analysis -- Chapter 2: Conventional Fusion Strategies for Medical Image Processing -- Chapter 3: Image Fusion using Deep Learning Methods -- Chapter 4: Fusion strategies for Deep learning applications -- Chapter 5: Advanced Applications, Future Trends, and Conclusion."Advanced Image Fusion Techniques for Medical Imaging: Trends, Applications, and Future Directions" is a comprehensive exploration of cutting-edge image fusion methodologies in the realm of medical imaging. This timely work addresses the growing need for advanced techniques to integrate and analyze multi-modal medical images, offering healthcare professionals and researchers a valuable resource for improving diagnostic accuracy and patient outcomes. The book provides a thorough examination of both conventional and deep learning-based fusion strategies, covering a wide spectrum of applications in medical image processing. From noise reduction and image enhancement to segmentation and classification, the authors present a detailed analysis of how image fusion can be leveraged to overcome the limitations of individual imaging modalities. Real-world case studies and practical examples throughout the text demonstrate the tangible benefits of these techniques in clinical settings. Looking beyond current applications, this forward-thinking volume also explores emerging trends and future directions in medical image fusion. By addressing challenges and potential impacts on healthcare practices, the authors offer readers a glimpse into the future of medical imaging. This book serves as an essential guide for researchers in biomedical engineering, medical professionals specializing in radiology and medical imaging, and graduate students in computer science, electrical engineering, biomedical engineering. This diverse audience reflects the book's comprehensive approach to advanced image fusion techniques in medical imaging, covering both theoretical foundations and practical applications.Imaging systems in biologyImage processingSignal processingArtificial intelligenceDiagnosisRadiologyBiological ImagingImage ProcessingSignal, Speech and Image ProcessingArtificial IntelligenceDiagnosisRadiologyImaging systems in biology.Image processing.Signal processing.Artificial intelligence.Diagnosis.Radiology.Biological Imaging.Image Processing.Signal, Speech and Image Processing.Artificial Intelligence.Diagnosis.Radiology.543.028Krishnan Palani Thanaraj1827463Rajangam Vijayarajan1827464MiAaPQMiAaPQMiAaPQBOOK9911007482203321Advanced Image Fusion Techniques for Medical Imaging4395633UNINA