Buy Williams Hematology 10th Edition by Kenneth Kaushansky; Marshall A. Lichtman; Josef T. Prchal; Marcel M. Levi; Linda J. Burns PDF ebook by author Kenneth Kaushansky; Marshall A. Lichtman; Josef T. Prchal; Marcel M. Levi; Linda J. Burns – published by McGraw-Hill Education / Medical in 2021 and save up to 80% compared to the print version of this textbook. With PDF version of this textbook, not only save you money, you can also highlight, add text, underline add post-it notes, bookmarks to pages, instantly search for the major terms or chapter titles, etc.
You can search our site for other versions of the Williams Hematology 10th Edition by Kenneth Kaushansky; Marshall A. Lichtman; Josef T. Prchal; Marcel M. Levi; Linda J. Burns PDF ebook. You can also search for others PDF ebooks from publisher McGraw-Hill Education / Medical, as well as from your favorite authors. We have thousands of online textbooks and course materials (mostly in PDF) that you can download immediately after purchase.
Note: e-textBooks do not come with access codes, CDs/DVDs, workbooks, and other supplemental items.
eBook Details:
Full title: Williams Hematology 10th Edition by Kenneth Kaushansky; Marshall A. Lichtman; Josef T. Prchal; Marcel M. Levi; Linda J. Burns
Edition: 10th
Copyright year: 2021
Publisher: McGraw-Hill Education / Medical
Author: Kenneth Kaushansky; Marshall A. Lichtman; Josef T. Prchal; Marcel M. Levi; Linda J. Burns
ISBN: 9781260464122, 9781000374322
Format: PDF
Description of Williams Hematology 10th Edition by Kenneth Kaushansky; Marshall A. Lichtman; Josef T. Prchal; Marcel M. Levi; Linda J. Burns:
Computer-aided design (CAD) plays a key role in improving biomedical systems for various applications. It also helps in the detection, identification, predication, analysis, and classification of diseases, in the management of chronic conditions, and in the delivery of health services. This book discusses the uses of CAD to solve real-world problems and challenges in biomedical systems with the help of appropriate case studies and research simulation results. Aiming to overcome the gap between CAD and biomedical science, it describes behaviors, concepts, fundamentals, principles, case studies, and future directions for research, including the automatic identification of related disorders using CAD. Features: Proposes CAD for the study of biomedical signals to understand physiology and to improve healthcare systems’ ability to diagnose and identify health disorders. Presents concepts of CAD for biomedical modalities in different disorders. Discusses design and simulation examples, issues, and challenges. Illustrates bio-potential signals and their appropriate use in studying different disorders. Includes case studies, practical examples, and research directions. Computer-Aided Design and Diagnosis Methods for Biometrical Applications is aimed at researchers, graduate students in biomedical engineering, image processing, biomedical technology, medical imaging, and health informatics.