02189nam 2200613 a 450 991078501720332120230721013352.00-309-14243-11-282-66034-997866126603440-309-11054-8(CKB)2670000000040041(SSID)ssj0000421864(PQKBManifestationID)11277450(PQKBTitleCode)TC0000421864(PQKBWorkID)10416100(PQKB)11143931(MiAaPQ)EBC3378628(Au-PeEL)EBL3378628(CaPaEBR)ebr10399489(CaONFJC)MIL266034(OCoLC)923281737(EXLCZ)99267000000004004120100329d2009 uy 0engurcn|||||||||ccrLeadership commitments to improve value in health care[electronic resource] finding common ground : workshop summary /LeighAnne Olsen, W. Alexander Goolsby, and J. Michael McGinnis ; Roundtable on Evidence-Based Medicine, Institute of Medicine of the National AcademiesWashington, D.C. National Academies Pressc2009xix, 347 p. illThe learning healthcare system seriesBibliographic Level Mode of Issuance: Monograph0-309-11053-X Includes bibliographical references.Learning healthcare system series.Medical careUnited StatesCongressesHealth care reformUnited StatesCongressesHealth insuranceUnited StatesCongressesMedical careHealth care reformHealth insurance362.10973Olsen LeighAnne1474460Goolsby W. Alexander1474480McGinnis J. Michael1474461Institute of Medicine (U.S.).Roundtable on Evidence-Based Medicine.MiAaPQMiAaPQMiAaPQBOOK9910785017203321Leadership commitments to improve value in health care3688219UNINA05668nam 22006855 450 991025484180332120200705070359.0981-10-2167-810.1007/978-981-10-2167-1(CKB)3710000001080175(DE-He213)978-981-10-2167-1(MiAaPQ)EBC4814238(PPN)19886695X(EXLCZ)99371000000108017520170228d2017 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierTongue Image Analysis /by David Zhang, Hongzhi Zhang, Bob Zhang1st ed. 2017.Singapore :Springer Singapore :Imprint: Springer,2017.1 online resource (XV, 335 p. 193 illus., 144 illus. in color.) 981-10-2166-X Includes bibliographical references and index.1. Introduction to Tongue Image Analysis -- 2. Tongue Images Acquisition System Design -- 3. Tongue Image Segmentation by Bi-Elliptical Deformable Contour -- 4. A Snake-Based Approach to Automated Tongue Image Segmentation -- 5. Tongue Segmentation in Hyperspectral Images -- 6. Tongue Segmentation by Gradient Vector Flow and Region Merging -- 7. Tongue Segmentation by Fusing Region-based and Edge-based Approaches -- 8. Tongue Shape Classification by Geometric Features -- 9. Color Correction Scheme for Tongue Images -- 10. Tongue Color Checker for Precise Correction -- 11. Tongue Color Analysis for Medical Application -- 12. Statistical Analysis of Tongue Color and Its Applications in Diagnosis -- 13. Hyperspetral Tongue Image Classification -- 14. Computerized Tongue Diagnosis based on Bayesian Networks -- 15. Tongue Image Analysis for Appendicitis Diagnosis -- 16. Diagnosis Using Quantitative Tongue Feature Classification -- 17. Detecting Diabetes Mellitus and Non-Proliferative Diabetic Retinopathy Using CTD Introduction -- 18. Book Review and Future Word.This is the first book offering a systematic description of tongue image analysis and processing technologies and their typical applications in computerized tongue diagnostic (CTD) systems. It features the most current research findings in all aspects of tongue image acquisition, preprocessing, classification, and diagnostic support methodologies, from theoretical and algorithmic problems to prototype design and development of CTD systems. The book begins with a very in-depth description of CTD on a need-to-know basis which includes an overview of CTD systems and traditional Chinese medicine (TCM) in order to provide the information on the context and background of tongue image analysis. The core part then introduces algorithms as well as their implementation methods, at a know-how level, including image segmentation methods, chromatic correction, and classification of tongue images. Some clinical applications based on these methods are presented for the show-how purpose in the CTD research field. Case studies highlight different techniques that have been adopted to assist the visual inspection of appendicitis, diabetes, and other common diseases. Experimental results under different challenging clinical circumstances have demonstrated the superior performance of these techniques. In this book, the principles of tongue image analysis are illustrated with plentiful graphs, tables, and practical experiments to provide insights into some of the problems. In this way, readers can easily find a quick and systematic way through the complicated theories and they can later even extend their studies to special topics of interest. This book will be of benefit to researchers, professionals, and graduate students working in the field of computer vision, pattern recognition, clinical practice, and TCM, as well as those involved in interdisciplinary research.BiometryOptical data processingPattern perceptionMedicine, ChineseBiomedical engineeringMedical informaticsBiometricshttps://scigraph.springernature.com/ontologies/product-market-codes/I22040Image Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XTraditional Chinese Medicinehttps://scigraph.springernature.com/ontologies/product-market-codes/H17020Biomedical Engineering and Bioengineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T2700XHealth Informaticshttps://scigraph.springernature.com/ontologies/product-market-codes/I23060Biometry.Optical data processing.Pattern perception.Medicine, Chinese.Biomedical engineering.Medical informatics.Biometrics.Image Processing and Computer Vision.Pattern Recognition.Traditional Chinese Medicine.Biomedical Engineering and Bioengineering.Health Informatics.570.15195Zhang Davidauthttp://id.loc.gov/vocabulary/relators/aut763056Zhang Hongzhiauthttp://id.loc.gov/vocabulary/relators/autZhang Bobauthttp://id.loc.gov/vocabulary/relators/autBOOK9910254841803321Tongue Image Analysis2540323UNINA