methodologies and clinical research Paragios, Nikos Editor Duncan, James Editor Ayache, Nicholas Editor mixed material bibliography New York Springer 2015 en English

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vii, 511 p. : Illust. ; 24 cm Biomedical image analysis has become a major aspect of engineering sciences, and radiology in particular has become a dominant player in the field. Recent developments have made it possible to use biomedical imaging to view the human body from an anatomical or physiological perspective in a non-invasive fashion. Computer-aided diagnosis consists of developing algorithms and intelligent software components that can automatically process images and spot potential irregularities in the health chain. This book explains the process of computer assisted biomedical image analysis diagnosis through mathematical modeling and inference of image-based bio-markers. It covers five crucial thematic areas: methodologies, statistical and physiological models, biomedical perception, clinical biomarkers, and emerging modalities and domains. The dominant state-of-the-art methodologies for content extraction and interpretation of medical images include fuzzy methods, level set methods, kernel methods, and geometric deformable models. The models and techniques discussed are used in the diagnosis, planning, control and follow-up of medical procedures. Throughout the book, challenges and limitations are explored along with new research directions. This complete volume is an exceptional tool for radiologists, research scientists, senior undergraduate and graduate students in health sciences and engineering, and university professors. This book offers a unique guide to the entire chain of biomedical imaging, explaining how image formation is done, and how the most appropriate algorithms are used to address demands and diagnoses. Computer Science Computer Vision Computer Simulation Diagnostic Imaging--Digital Techniques Imaging Systems in Medicine Medical Radiology Diagnosis Diagnostic Imaging 616.0754 9780387097480 e-Library Universitas Pertamina Be Global Leader R 616.0754 PAR h 2110/PUP/2016 Perpustakaan Universitas Pertamina R 616.0754 PAR h c.1 Handbook_of_Biomedical_Imaging%252C_methodologies_and_clinical_research.jpg.jpg 963 2017-06-15 13:44:21 2017-06-15 13:57:54 machine generated Chemistry Computer Science Electrical Engineering