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Artificial Intelligence applications build on a rich and proven theoretical background to provide solutions to a wide range of real life problems. The ever expanding abundance of information and computing power enables researchers and users to tackle higly interesting issues for the first time, such as applications providing personalized access and interactivity to multimodal information based on preferences and semantic concepts or human-machine interface systems utilizing information on the affective state of the user. The purpose of the 3rd IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI) is to bring together researchers, engineers, and practitioners interested in the technical advances and business and industrial applications of intelligent systems. AIAI 2006 is focused on providing insights on how AI can be implemented in real world applications.
There are a myriad of mathematical problems that cannot be solved using traditional methods. The development of fuzzy expert systems has provided new opportunities for problem-solving amidst uncertainties. Fuzzy Systems: Concepts, Methodologies, Tools, and Applications is a comprehensive reference source on the latest scholarly research and developments in fuzzy rule-based methods and examines both theoretical foundations and real-world utilization of these logic sets. Featuring a range of extensive coverage across innovative topics, such as fuzzy logic, rule-based systems, and fuzzy analysis, this is an essential publication for scientists, doctors, engineers, physicians, and researchers interested in emerging perspectives and uses of fuzzy systems in various sectors.
Part of the highly regarded Diagnostic Pathology series, this updated volume by Drs. Marisa R. Nucci and Esther Oliva is an ideal point-of-care reference for the accurate diagnosis of the full range of nonneoplastic and neoplastic conditions of the female genital tract, including common and uncommon entities. Concise, focused chapters, supported by tables, diagrams, and photographs, keep you up to date with evolving changes in the understanding of the pathobiology of common gynecologic tumors. This revised edition is ideal for pathologists at all levels of experience and training for use as a quick reference and as an efficient review to improve knowledge and skills. - Coverage of all frequently encountered conditions, plus extensive coverage of uncommonly discussed topics such as inflammatory diseases of the vulva by experts in dermatopathology - Logically organized into six easy-to-reference anatomic sections: Vulva, vagina, uterus, ovary, fallopian tube and broad ligament, and peritoneum - Time-saving reference features include bulleted text, tables of diagnostic criteria, annotated images, Key Facts boxes, and an extensive index - Thoroughly updated content includes new terminology (including that from the WHO and LAST), new entities, updated molecular data, and new classifications of endocervical, endometrial, and ovarian cancer as well as uterine mesenchymal neoplasia - More than 2,100 superb images, including many new gross and microscopic pathology images, depict both classic and variant morphologic findings as well as diagnostically relevant immunohistochemical and molecular findings - Expert ConsultTM eBook version included with purchase. This enhanced eBook experience allows you to search all of the text, figures, and references from the book on a variety of devices
The contributed volume aims to explicate and address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two key factors: (a) knowledge hidden in organizations’ databases can be exploited to improve strategic and managerial decision-making; (b) the large volume of data managed by organizations makes it impossible to carry out a manual analysis. The book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.
Medical images are at the base of many routine clinical decisions and their influence continues to increase in many fields of medicine. Since the last decade, computers have become an invaluable tool for supporting medical image acquisition, processing, organization and analysis. Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques provides a panorama of the current boundary between biomedical complexity coming from the medical image context and the multiple techniques which have been used for solving many of these problems. This innovative publication serves as a leading industry reference as well as a source of creative ideas for applications of medical issues.
Breast cancer is the second leading cause of death for women all over the world. Since the cause of the disease remains unknown, early detection and diagnosis is the key for breast cancer control, and it can increase the success of treatment, save lives and reduce cost. Ultrasound imaging is one of the most frequently used diagnosis tools to detect and classify abnormalities of the breast.
Part of the highly regarded Diagnostic Pathology series, Diagnostic Pathology: Breast, second edition, is a visually stunning, easy-to-use reference covering all aspects of breast pathology. Outstanding images, including gross and microscopic pathology, a wide range of supportive immunohistochemistry, and detailed medical illustrations with numerous examples of morphologic findings, make this an invaluable diagnostic aid for every practicing pathologist, resident, or fellow. This second edition incorporates the most recent clinical, pathological, histological, and molecular knowledge in the field to provide a comprehensive overview of all key issues relevant to today's practice. Thoroughly updated content throughout, including coverage of new technologies and molecular approaches that are quickly moving out of the laboratory into clinical diagnosis and therapeutic decision making New to this edition: Tips on how to biopsy and send the best block for breast cancer predictive factor testing, updated prognostic assays, updated national guidelines (including HER2 testing) with photos, neoadjuvant treatment, new drugs for HER2-positive cancers, and pattern-based differential diagnosis chapters and guidance on the most helpful IHC antibodies For each anatomical site, you will find CAP cancer staging and specimen handling protocols, plus detailed immunohistochemistry panels to accompany the images High-quality, carefully annotated color images provide clinically and diagnostically important information Fully integrated, searchable, and linked content between differential diagnostic categories is perfectly suited for residents, while new images and outstanding graphics make this text ideal for both residents and practitioners Time-saving reference features include bulleted text, a variety of data tables, key facts in each chapter, annotated images, and an extensive index Expert Consult eBook version included, which allows you to search all of the text, figures, and references from the book on a variety of devices