00940nas 2200349 c 450 991014211030332120171201185356.0(CKB)1000000000528653(DE-599)ZDB2194020-4(OCoLC)405827523(DE-101)975527606(EXLCZ)99100000000052865320050704a19989999 |y |engur|||||||||||txtrdacontentcrdamediacrrdacarrierAlaska Fisheries Science Center quarterly reportSeattle, Wash.AFSC1998-Online-RessourceAFSC Quarterly ReportZeitschriftgnd-content6306408999DE-1019999JOURNAL9910142110303321Alaska Fisheries Science Center quarterly report2120603UNINA03033nam 22005415 450 99646629720331620200702005452.03-030-02934-410.1007/978-3-030-02934-0(CKB)4100000007145836(DE-He213)978-3-030-02934-0(MiAaPQ)EBC6294787(PPN)23247060X(EXLCZ)99410000000714583620181119d2018 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierWeb Information Systems and Applications[electronic resource] 15th International Conference, WISA 2018, Taiyuan, China, September 14–15, 2018, Proceedings /edited by Xiaofeng Meng, Ruixuan Li, Kanliang Wang, Baoning Niu, Xin Wang, Gansen Zhao1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (XVI, 498 p. 242 illus., 134 illus. in color.) Information Systems and Applications, incl. Internet/Web, and HCI ;112423-030-02933-6 Includes bibliographical references and index.Machine learning and data mining -- Cloud computing and big data -- Information retrieval -- Natural language processing -- Data privacy and security -- Knowledge graphs and social networks -- Query processing -- Recommendations.This book constitutes the refereed proceedings of the 15th International Conference on Web Information Systems and Applications, WISA 2018, held in Taiyuan, China, in September 2018. The 29 full papers presented together with 16 short papers were carefully reviewed and selected from 103 submissions. The papers cover topics such as machine learning and data mining; cloud computing and big data; information retrieval; natural language processing; data privacy and security; knowledge graphs and social networks; query processing; and recommendations.Information Systems and Applications, incl. Internet/Web, and HCI ;11242Data miningData Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Data mining.Data Mining and Knowledge Discovery.006.3Meng Xiaofengedthttp://id.loc.gov/vocabulary/relators/edtLi Ruixuanedthttp://id.loc.gov/vocabulary/relators/edtWang Kanliangedthttp://id.loc.gov/vocabulary/relators/edtNiu Baoningedthttp://id.loc.gov/vocabulary/relators/edtWang Xinedthttp://id.loc.gov/vocabulary/relators/edtZhao Gansenedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996466297203316Web information systems and applications2045997UNISA05429nam 2200613Ia 450 991078253020332120220706112841.01-281-92852-6978661192852097866121672630-08-055914-X(CKB)1000000000579074(EBL)405937(OCoLC)437246546(Au-PeEL)EBL405937(CaPaEBR)ebr10269295(CaONFJC)MIL192852(MiAaPQ)EBC405937(PPN)170603407(EXLCZ)99100000000057907420090107d2009 uy 0engur|n|---|||||Handbook of medical image processing and analysis[electronic resource] /edited by Issac N. Bankman2nd ed.Amsterdam Elsevier/Academic Pressc20091 online resource (1009 p.)Academic Press series in biomedical engineeringDescription based upon print version of record.0-12-373904-7 Includes bibliographical references and index.Front Cover; Handbook of Medical Image Processing and Analysis; Copyright Page; Contents; Foreword; Contributors; Preface; Acknowledgments; Part I Enhancement; Chapter 1 Fundamental Enhancement Techniques; 1.1 Introduction; 1.2 Preliminaries and Definitions; 1.3 Pixel Operations; 1.4 Local Operators; 1.5 Operations with Multiple Images; 1.6 Frequency Domain Techniques; 1.7 Concluding Remarks; 1.8 References; Chapter 2 Adaptive Image Filtering; 2.1 Introduction; 2.2 Multidimensional Spatial Frequencies and Filtering; 2.3 Random Fields and Wiener Filtering; 2.4 Adaptive Wiener Filters2.5 Anisotropic Adaptive Filtering2.6 References; Chapter 3 Enhancement by Multiscale Nonlinear Operators; 3.1 Introduction; 3.2 One-Dimensional Discrete Dyadic Wavelet Transform; 3.3 Linear Enhancement and Unsharp Masking; 3.4 Nonlinear Enhancement by Functional Mapping; 3.5 A Method for Combined Denoising and Enhancement; 3.6 Two-Dimensional Extension; 3.7 Experimental Results and Comparison; 3.8 Conclusion; 3.9 References; Chapter 4 Medical Image Enhancement Using Fourier Descriptors and Hybrid Filters; 4.1 Introduction; 4.2 Design of the Hybrid Filter; 4.3 Experimental Results4.4 Discussion and Conclusion4.5 References; Part II Segmentation; Chapter 5 Overview and Fundamentals of Medical Image Segmentation; 5.1 Introduction; 5.2 Thresholding; 5.3 Region Growing; 5.4 Watershed Algorithm; 5.5 Edge-Based Segmentation Techniques; 5.6 Multispectral Techniques; 5.7 Other Techniques; 5.8 Concluding Remarks; 5.9 References; Chapter 6 Image Segmentation by Fuzzy Clustering: Methods and Issues; 6.1 Introduction; 6.2 The Quantitative Basis of Fuzzy Image Segmentation; 6.3 Qualitative Discussion of a Few Fuzzy Image Segmentation Methods; 6.4 Conclusions and Discussion6.5 ReferencesChapter 7 Segmentation with Neural Networks; 7.1 Introduction; 7.2 Structure and Function of the GRBF Network; 7.3 Training Procedure; 7.4 Application to Medical Image Segmentation; 7.5 Image Data; 7.6 Preprocessing; 7.7 Vector Quantization; 7.8 Classification; 7.9 Results; 7.10 Discussion; 7.11 Topical Applications, Conceptual Extensions, and Outlook; 7.12 Conclusion and Outlook; 7.13 References; Chapter 8 Deformable Models; 8.1 Introduction; 8.2 Mathematical Foundations of Deformable Models; 8.3 Medical Image Analysis with Deformable Models; 8.4 Discussion; 8.5 Conclusion8.6 ReferencesChapter 9 Shape Information in Deformable Models; 9.1 Background; 9.2 Global Shape Constraints; 9.3 Level Set Methods Incorporating Generic Constraints; 9.4 Conclusions; 9.5 References; Chapter 10 Gradient Vector Flow Deformable Models; 10.1 Introduction; 10.2 Background; 10.3 GVF Deformable Contours; 10.4 Experiments; 10.5 3D GVF Deformable Models and Results; 10.6 Discussion; 10.7 Conclusions; 10.8 References; Chapter 11 Fully Automated Hybrid Segmentation of the Brain; 11.1 Introduction; 11.2 Brain Segmentation Method; 11.3 Other Brain Segmentation Techniques; 11.4 Summary11.5 ReferencesThe Handbook of Medical Image Processing and Analysis is a comprehensive compilation of concepts and techniques used for processing and analyzing medical images after they have been generated or digitized. The Handbook is organized into six sections that relate to the main functions: enhancement, segmentation, quantification, registration, visualization, and compression, storage and communication.The second edition is extensively revised and updated throughout, reflecting new technology and research, and includes new chapters on: higher order statistics for tissue segmentation; tumor gAcademic Press series in biomedical engineering.Diagnostic imagingDigital techniquesHandbooks, manuals, etcImaging systems in medicineHandbooks, manuals, etcDiagnostic imagingDigital techniquesImaging systems in medicine616.07616.07/54616.0754Bankman I. N(Isaac N.)1545404MiAaPQMiAaPQMiAaPQBOOK9910782530203321Handbook of medical image processing and analysis3800334UNINA