Descripción del título
Pattern recognition in medi...
Medical Imaging has become one of the most important visualization and interpretation methods in biology and medecine over the past decade. This time has witnessed a tremendous development of new, powerful instruments for detecting, storing, transmitting, analyzing, and displaying medical images. This has led to a huge growth in the application of digital processing techniques for solving medical problems. The most challenging aspect of medical imaging lies in the development of integrated systems for the use of the clinical sector. Design, implementation, and validation of complex medical systems requires a tight interdisciplinary collaboration between physicians and engineers because poor image quality leads to problematic feature extraction, analysis, and recognition in medical application. Therefore, much of the research done today is geared towards improvement of imperfect image material. This important book by academic authority Anke Meyer-Baese compiles and organizes a complete range of proven and cutting-edge new methods, which are playing a leading role in the improvement of image quality, analysis and interpretation in modern medical imaging. These methods offer fresh tools of hope for physicians investigating a vast number of medical problems for which classical methods prove insufficient. Each chapter in Pattern Recognition for Medical Imaging provides a chapter summary and bibliographic remarks for in-depth study. Each presented classification approach is elucidated by a flow-diagram and highlighted with practical medical imaging applications. This is an essential tool for the serious student and professional working with Medical Imaging. *Essential tool for serious students and professionals working with Medical Imaging
Monografía
monografia Rebiun12210864 https://catalogo.rebiun.org/rebiun/record/Rebiun12210864 070806s2004 ne a sb 001 0 eng d 9780124932906 0124932908 UMO 68830 UIB (331982) UMA.RE Meyer-Bäse, Anke Pattern recognition in medical imaging Recurso electrónico] Anke Meyer-Bäse Servicio en línea Amsterdam Boston Elsevier Academic Press cop. 2004 Amsterdam Boston Amsterdam Boston Elsevier Academic Press Elsevier Book Series on ScienceDirect Elsevier Engineering Information Books on ScienceDirect Elsevier Engineering Information Includes bibliographical references (p. 367-382) and index Acceso restringido a miembros del Consorcio de Bibliotecas Universitarias de Andalucía Medical Imaging has become one of the most important visualization and interpretation methods in biology and medecine over the past decade. This time has witnessed a tremendous development of new, powerful instruments for detecting, storing, transmitting, analyzing, and displaying medical images. This has led to a huge growth in the application of digital processing techniques for solving medical problems. The most challenging aspect of medical imaging lies in the development of integrated systems for the use of the clinical sector. Design, implementation, and validation of complex medical systems requires a tight interdisciplinary collaboration between physicians and engineers because poor image quality leads to problematic feature extraction, analysis, and recognition in medical application. Therefore, much of the research done today is geared towards improvement of imperfect image material. This important book by academic authority Anke Meyer-Baese compiles and organizes a complete range of proven and cutting-edge new methods, which are playing a leading role in the improvement of image quality, analysis and interpretation in modern medical imaging. These methods offer fresh tools of hope for physicians investigating a vast number of medical problems for which classical methods prove insufficient. Each chapter in Pattern Recognition for Medical Imaging provides a chapter summary and bibliographic remarks for in-depth study. Each presented classification approach is elucidated by a flow-diagram and highlighted with practical medical imaging applications. This is an essential tool for the serious student and professional working with Medical Imaging. *Essential tool for serious students and professionals working with Medical Imaging Modo de acceso: World Wide Web EIR ScienceDirect (M) Imaging systems in medicine Diagnostic imaging- Mathematics Image processing- Mathematics Pattern recognition systems Diagnostic Imaging- methods Pattern Recognition, Automated Image Processing, Computer-Assisted Mathematical Computing Libros electrónicos ScienceDirect (Servicio en línea) Elsevier Engineering Information (Servicio en línea)