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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.
This revised edition includes a glossary of terms and a materia medica and formulary sufficient to practice the treatments described in the text. As such it is not only a unique, absoloutely-defined and referenced text, but also a self-contained and inexpensive course of study. As a basic text produced to a multi-author, multi-publisher voluntary standard, this revised edition is a unique key for scholars and clinicians alike.
Medical informatics is a field which continues to evolve with developments and improvements in foundational methods, applications, and technology, constantly offering opportunities for supporting the customization of healthcare to individual patients. This book presents the proceedings of the 16th World Congress of Medical and Health Informatics (MedInfo2017), held in Hangzhou, China, in August 2017, which also marked the 50th anniversary of the International Medical Informatics Association (IMIA). The central theme of MedInfo2017 was "Precision Healthcare through Informatics", and the scientific program was divided into five tracks: connected and digital health; human data science; human, organizational, and social aspects; knowledge management and quality; and safety and patient outcomes. The 249 accepted papers and 168 posters included here span the breadth and depth of sub-disciplines in biomedical and health informatics, such as clinical informatics; nursing informatics; consumer health informatics; public health informatics; human factors in healthcare; bioinformatics; translational informatics; quality and safety; research at the intersection of biomedical and health informatics; and precision medicine. The book will be of interest to all those who wish to keep pace with advances in the science, education, and practice of biomedical and health informatics worldwide.
This volume, containing contributions by experts from all over the world, is a collection of 21 articles which present review and research material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, syntactic/linguistic, fuzzy-set-theoretic, neural, genetic-algorithmic and rough-set-theoretic to hybrid soft computing, with significant real-life applications. In addition, the book describes efficient soft machine learning algorithms for data mining and knowledge discovery. With a balanced mixture of theory, algorithms and applications, as well as up-to-date information and an extensive bibliography, Pattern Recognition: From Classical to Modern Approaches is a very useful resource. Contents: Pattern Recognition: Evolution of Methodologies and Data Mining (A Pal & S K Pal); Adaptive Stochastic Algorithms for Pattern Classification (M A L Thathachar & P S Sastry); Shape in Images (K V Mardia); Decision Trees for Classification: A Review and Some New Results (R Kothari & M Dong); Syntactic Pattern Recognition (A K Majumder & A K Ray); Fuzzy Sets as a Logic Canvas for Pattern Recognition (W Pedrycz & N Pizzi); Neural Network Based Pattern Recognition (V David Sanchez A); Networks of Spiking Neurons in Data Mining (K Cios & D M Sala); Genetic Algorithms, Pattern Classification and Neural Networks Design (S Bandyopadhyay et al.); Rough Sets in Pattern Recognition (A Skowron & R Swiniarski); Automated Generation of Qualitative Representations of Complex Objects by Hybrid Soft-Computing Methods (E H Ruspini & I S Zwir); Writing Speed and Writing Sequence Invariant On-line Handwriting Recognition (S-H Cha & S N Srihari); Tongue Diagnosis Based on Biometric Pattern Recognition Technology (K Wang et al.); and other papers. Readership: Graduate students, researchers and academics in pattern recognition.
Examination of the tongue, like the pulse, is one of the principal diagnostic methods in traditional Chinese medicine. This book--newly revised in 1995--systematically describes each of the primary characteristics of the tongue (body color, shape and coating) and their significance in the clinic. It traces the historical development of tongue diagnosis and its relationship to externally- contracted disorders and the eight principals. Featured in this revised edition are 59 color plates and accompanying case histories from the author's own practice. Other aspects of tongue diagnosis newly described in this edition include the integration of tongue and pulse diagnosis; the use of the tongue in diagnosing emotional problems; tongue diagnosis and herbal treatment; the tongue in prognosis; and special considerations regarding tongue diagnosis in children.
This volume presents texts written by Austrian and Chinese experts in the field of Traditional Chinese Medicine. The issue the authors worked on is the basic problem how to make a different system of medical thinking plausible for the Western world, especially for Western medicine. This issue is considered from different viewpoints - from the viewpoint of Western medicine that is familiar with Chinese medicine and contrariwise from the viewpoint of Chinese Medicine that is familiar with its Western counterpart and from a philosophical viewpoint. In this way both differences in the theoretical systems of Western and Chinese medicine and problems of adequate translation are profundly discussed.
This book provides a comprehensive summary on the ten years of research work by the authors in the field of computerized TCM data analysis. The book first presents a general introduction to computerized TCM data analysis (CTDA), and then briefly introduces the essential background on signal/image processing and pattern recognition. After that, this book looks into three main TCM data analysis technologies: computerized tongue analysis, computerized pulse analysis, and computerized odor analysis. Finally, conclusion and remarks are provided to give the authors' perspectives on ongoing and future research.
Pulse diagnosis is a subtle yet highly effective instrument used in Chinese medicine for the diagnosis and prevention of disease. The method set forth in this book is unsurpassed in obtaining the greatest amount of physical and psychological information about an individual. Although based on traditional methods, it is contemporary because it recognizes that pulse diagnosis must continue to develop over time. In the hands of master pulse diagnostician Dr. John Shen, his apprentice Dr. Leon Hammer, and their students, it has evolved in recent decades to better reflect modern times and lifestyles. This handbook summarizes the key elements of Chinese Pulse Diagnosis: A Contemporary Approach in a portable edition. It is the result of the very hard work, by many practitioners, of extracting the essentials from each area of this subject. The present volume offers a clear and practical path toward a better understanding of traditional pulse diagnosis, while recasting its interpretation in the context of our own times. The book is organized in eighteen chapters. The early chapters consider such general issues as terminology, classification of pulse qualities, historical comparisons of positions and depths, and a methodology for taking the pulse. The middle chapters provide an in-depth look at each of the individual pulse qualities, identified by felt sensation based on such characteristics as rate and rhythm, stability, volume, depth, size, and shape. The types of pathology associated with each of the qualities are also discussed. Later chapters examine the significance of the qualities when found across the entire pulse, or large segments of the pulse, and at different depths. The relationship of the pulse qualities to psychology and prognosis are addressed in separate chapters. The final chapters on interpretation and case histories draw everything together to show how this information can be formulated into a rational diagnosis. Key information in the book is organized and richly illustrated in over a hundred tables and graphic drawings. There is also a glossary of special terms, bibliography, and full index to the contents.
This book - in conjunction with the double volume LNCS 9225-9226 - constitutes the refereed proceedings of the 11th International Conference on Intelligent Computing, ICIC 2015, held in Fuzhou, China, in August 2015. The total of 191 full and 42 short papers presented in the three ICIC 2015 volumes was carefully reviewed and selected from 671 submissions. Original contributions related to this theme were especially solicited, including theories, methodologies, and applications in science and technology. This year, the conference concentrated mainly on machine learning theory and methods, soft computing, image processing and computer vision, knowledge discovery and data mining, natural language processing and computational linguistics, intelligent control and automation, intelligent communication networks and web applications, bioinformatics theory and methods, healthcare and medical methods, and information security.