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Tongue Image Analysis

Author: David Zhang

Publisher: Springer

Published: 2017-02-28

Total Pages: 335

ISBN-13: 9811021678

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.

Machine Learning for Cyber Security

Author: Xiaofeng Chen

Publisher: Springer Nature

Published: 2020-11-10

Total Pages: 554

ISBN-13: 3030624633

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This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Xi’an, China in October 2020. The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.

Soft Computing and Signal Processing

Author: V. Sivakumar Reddy

Publisher: Springer Nature

Published: 2021-07-23

Total Pages: 663

ISBN-13: 9811612498

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This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Third International Conference on Soft Computing and Signal Processing (ICSCSP 2020). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.

Computational Analysis of Tongue Image for Health Diagnosis

Author: Meng Zhang (software developer)

Publisher:

Published: 2017

Total Pages: 74

ISBN-13:

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Tongue, the primary taste organ in the mouth, can reflect the whole body's health conditions based on the Traditional Chinese Medical (TCM) theories. Watching the tongue is one of the most common, essential and reliable methods for the TCM doctor to make diagnoses. In this thesis, a new health system is introduced based on tongue image analysis. The technologies adopted in this system ranged from tongue image processing algorithms to machine learning applications. The tongue image algorithms used in this work include image segmentation, tongue recognition and tongue image classification. Image segmentation was used to get rid of other unrelated parts, such as lip, face and neck, while keeping the tongue only. Then two recognition methods were applied to check whether the segmented result is a tongue or not. For different tongue patterns, the Support Vector Machine is applied to train a machine learning model and make predictions to classify the tongue into different labeled groups. An app named 'iTongue' is designed to monitor the body status by taking and processing tongue images in smart phones. The app provides a user-friendly, fast and powerful health tool based on TCM theories. The whole system is implemented in a webbased environment. An advanced portal was developed to connect the users and the TCM doctors. The users will not only obtain the analysis label of tongue images, but also get some life style recommendations based on the tongue image analysis. This portal helps the user understand more about his body status and guide him to adopt a more suitable diet and improve exercise.

Advanced Intelligent Computing Theories and Applications

Author: De-Shuang Huang

Publisher: Springer

Published: 2015-08-12

Total Pages: 802

ISBN-13: 3319220535

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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.

Fundamentals of Chinese Medicine

Author:

Publisher: Paradigm Publications

Published: 1995

Total Pages: 548

ISBN-13: 9780912111445

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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.

Computer-aided Tongue Image Diagnosis and Analysis

Author: Ratchadaporn Kanawong

Publisher:

Published: 2012

Total Pages: 110

ISBN-13:

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This work focuses on computer-aided tongue image analysis, specifically, as it relates to Traditional Chinese Medicine (TCM). Computerized tongue diagnosis aid medical practitioners capture quantitative features to improve reliability and consistence of diagnosis. A total computer-aided tongue analysis framework consists of tongue detection, tongue segmentation, tongue feature extraction, tongue classification and analysis, which are all included in our work. We propose a new hybrid image segmentation algorithm that integrates the region-based method with the boundary-based method. We apply this segmentation algorithm in designing an automatic tongue detection and segmentation framework. We also develop a novel color space based feature set for tongue feature extraction to implement an automated ZHENG (TCM syndrome) classification system using machine learning techniques. To further enhance the performance of our classification system, we propose preprocessing the tongue images using the Modified Specular-free technique prior to feature extraction, and explore the extraction of geometry features from the Petechia. Lastly, we propose a new feature set for automated tongue shape classification.

Intelligent Computing Theories and Application

Author: De-Shuang Huang

Publisher: Springer

Published: 2017-07-18

Total Pages: 815

ISBN-13: 3319633090

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This three-volume set LNCS 10361, LNCS 10362, and LNAI 10363 constitutes the refereed proceedings of the 13th International Conference on Intelligent Computing, ICIC 2017, held in Liverpool, UK, in August 2017. The 212 full papers and 20 short papers of the three proceedings volumes were carefully reviewed and selected from 612 submissions. This first volume of the set comprises 71 papers. The papers are organized in topical sections such as Evolutionary Computation and Learning; Neural Networks; Nature Inspired Computing and Optimization; Signal Processing; Pattern Recognition; Biometrics Recognition; Image Processing; Information Security; Virtual Reality and Human-Computer Interaction; Business Intelligence and Multimedia Technology; Genetic Algorithms; Biomedical Informatics Theory and Methods; Particle Swarm Optimization and Niche Technology; Swarm Intelligence and Optimization; Independent Component Analysis; Compressed Sensing and Sparse Coding; Natural Computing; Intelligent Computing in Computer Vision; Computational Intelligence and Security for Image Applications in Social Network; Neural Networks: Theory and Application.

Deep Learning in Medical Image Analysis

Author: Gobert Lee

Publisher: Springer Nature

Published: 2020-02-06

Total Pages: 184

ISBN-13: 3030331288

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This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.

Pocket Atlas of Tongue Diagnosis

Author: Claus C. Schnorrenberger

Publisher: Thieme

Published: 2011-01-26

Total Pages: 266

ISBN-13: 3131536829

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Praise for the First Edition:The authors take a comprehensive approach to treatment by including acupuncture, herbs and diet; the photos are good; and the cases are interesting.--The Lantern: A Journal of Traditional Chinese MedicineIn this fully up-to-date Second Edition, experts in Chinese medicine explain how traditional Chinese tongue diagnosis can be used in daily practice to complement conventional Western methods.The guide begins with a brief introduction to the history, anatomy, physiology, and methodology of tongue diagnosis followed by basic techniques and systematic procedures for identifying the manifold individual characteristics of the tongue's shape and its many modifications. Full-color photographs of tongues then demonstrate a variety of clinical scenarios to help readers develop a holistic approach to diagnosis.Features An in-depth review of the tongue's most important anatomic and physiologic features, including the lingual papillae, the tongue muscles, arterial supply, and much more More than 180 full-color illustrations and high-quality clinical photographs of Western tongues enhance the text Treatment suggestions for using acupuncture, herbs, and nutrition accompany each clinical image Medical assessment of 28 case histories with real-life photographs from the authors' practice The Second Edition of Pocket Atlas of Tongue Diagnosis is an essential resource for every practitioner or student of Chinese medicine, acupuncture, or complementary medicine.