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Machine learning for healthcare applications
When considering the idea of using machine learning in healthcare, it is a Herculean task to present the entire gamut of information in the field of intelligent systems.It is, therefore the objective of this book to keep the presentation narrow and intensive.
eBook
Genetic and evolutionary computation
Genetic and Evolutionary Computation: Medical Applications provides an overview of the range of GEC techniques being applied to medicine and healthcare in a context that is relevant not only for existing GEC practitioners but also those from other disciplines, particularly health professionals.
eBook
Cloud computing technologies for smart agriculture and healthcare
\"Cloud Computing Technologies for Smart Agriculture and Healthcare aims to cover the cloud management and framework. It discusses how cloud computing framework can be integrated with fog computing, edge computing, deep learning and IOT. This book will be divided in two application parts: Agriculture and Healthcare. Discusses fundamentals theories to practical and sophisticated applications of Cloud Technology for Agriculture and Healthcare Includes case studies Concepts are illustrated well with appropriate figures, tables and simple language This book is primarily aimed at graduates and researchers to understand the echo system of cloud technology for agriculture and healthcare\"-- Provided by publisher.
Book
Visualization in medicine : theory, algorithms, and applications
Visualization in Medicine is the first book on visualization and its application to problems in medical diagnosis, education, and treatment. The book describes the algorithms, the applications and their validation (how reliable are the results?), and the clinical evaluation of the applications (are the techniques useful?). It discusses visualization techniques from research literature as well as the compromises required to solve practical clinical problems. The book covers image acquisition, image analysis, and interaction techniques designed to explore and analyze the data. The final chapter shows how visualization is used for planning liver surgery, one of the most demanding surgical disciplines. The book is based on several years of the authors' teaching and research experience. Both authors have initiated and lead a variety of interdisciplinary projects involving computer scientists and medical doctors, primarily radiologists and surgeons. * A core field of visualization and graphics missing a dedicated book until now* Written by pioneers in the field and illustrated in full color* Covers theory as well as practice
eBook
Artificial intelligence and machine learning in 2D/3D medical image processing
\"Medical image fusion is a process which merges information from multiple images of the same scene. The fused image provides appended information that can be utilized for more precise localization of abnormalities. The use of medical image processing databases will help to create and develop more accurate and diagnostic tools\"-- Provided by publisher.
Book
Data Mining Applications Using Ontologies in Biomedicine
Presently, a growing number of ontologies are being built and used for annotating data in biomedical research. Thanks to the tremendous amount of data being generated, ontologies are now being used in numerous ways, including connecting different databases, refining search capabilities, interpreting experimental/clinical data, and inferring knowledge. This cutting-edge resource introduces you to latest developments in bio-ontologies. The book provides you with the theoretical foundations and examples of ontologies, as well as applications of ontologies in biomedicine, from molecular levels to clinical levels. You also find details on technological infrastructure for bio-ontologies. This comprehensive, one-stop volume presents a wide range of practical bio-ontology information, offering you detailed guidance in the clustering of biological data, protein classification, gene and pathway prediction, and text mining. More than 160 illustrations support key topics throughout the book.
eBook