PDF Download Pattern Recognition and Signal Analysis in Medical Imaging, by Volker J. Schmid, Anke Meyer-Baese
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Pattern Recognition and Signal Analysis in Medical Imaging, by Volker J. Schmid, Anke Meyer-Baese
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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. 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, organizes and explains a complete range of proven and cutting-edge 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.
*Essential tool for serious students and professionals working with Medical Imaging
- Sales Rank: #4106404 in Books
- Published on: 2003-11-14
- Original language: English
- Number of items: 1
- Dimensions: 9.21" h x .94" w x 6.14" l, 1.68 pounds
- Binding: Hardcover
- 448 pages
Most helpful customer reviews
1 of 2 people found the following review helpful.
This is what you need to have!
By Axel Wismueller, MD, MSc
This is what I have always been looking for: A. Meyer-Baese presents an excellent book covering both a general introduction and a comprehensive survey on pattern recognition for biomedical purposes. I think the author provides a nice balance between theory and practice. The textbook can serve as an outstanding introduction of exceptional quality for everybody who wants to find precise, yet understandable discussions on how cutting-edge medical image analysis works, including methods for feature selection and extraction, wavelet analysis, neural networks and applications.
In summary, no matter whether you are a student or an expert interested in the field of biomedical pattern and image recognition: This book is what you need and a definite `must have'!
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