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Tissue Elasticity Imaging: Volume One: Theory and Methods offers an extensive treatment of the fundamentals and applications of this groundbreaking diagnostic modality. The book introduces elasticity imaging, its history, the fundamental physics, and the different elasticity imaging methods, along with their implementation details, problems and artefacts. It is an essential resource for all researchers and practitioners interested in any elasticity imaging modality. As many diseases, including cancers, alter tissue mechanical properties, it is not always possible for conventional methods to detect changes, but with elasticity images that are produced by slow tissue deformation or low-frequency vibration, these changes can be displayed.
Tissue Elasticity Imaging: Volume Two: Clinical Applications offers an extensive treatment of the fundamentals and applications of this groundbreaking diagnostic modality. Techniques and results are presented for the assessment of breast, prostate, heart, liver and thyroid tissues. For each application, details are provided on how to perform each technique, along with methods of interpretation, diagnostic criteria, quality assurance, challenges and case studies. This book is an essential resource for all researchers and practitioners (including scientists, radiologists, urologists, fellows and residents) interested in any elasticity imaging modality. As many diseases, including cancers, alte...
This class-tested textbook is designed for a semester-long graduate or senior undergraduate course on Computational Health Informatics. The focus of the book is on computational techniques that are widely used in health data analysis and health informatics and it integrates computer science and clinical perspectives. This book prepares computer science students for careers in computational health informatics and medical data analysis. Features Integrates computer science and clinical perspectives Describes various statistical and artificial intelligence techniques, including machine learning techniques such as clustering of temporal data, regression analysis, neural networks, HMM, decision t...
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Einstein: The First Hundred Years presents the great contribution of Albert Einstein to the development of science. This book discusses the significant role of Einstein's existence as a scientist who turned out to be a great public figure that changed the society's consciousness of science for good. Organized into five parts encompassing 17 chapters, this book begins with an overview of Albert Einstein's achievement as the greatest theoretical physicist of his age and he was universally recognized at 37. This text then provides Einstein's major contribution to the special and general theories of relativity. Other chapters consider Einstein's work on the development of quantum theory for which he received the Nobel Prize in 1921. This book discusses as well Brownian movement and statistical theories by Einstein. The final chapter deals with the increasing widespread interest in Einstein's work. This book is a valuable resource for scientists, physicists, teachers, and students.