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Authored by renowned expert Alejandro Frangi, Medical Image Analysis is a cutting-edge, self-contained reference that provides practical knowledge on medical image computing and analysis. This authoritative text brings together top educators and experts to convey a mix of fundamental methodological concepts within different medical domains.
The book covers the essential representations and properties of digital images, as well as advanced image enhancement techniques to improve image quality. These foundational concepts lay the groundwork for more advanced topics in medical image computing.
Delve into the world of advanced image computing methods, including segmentation, registration, motion, and shape analysis. These techniques are crucial for extracting meaningful information from medical images and are thoroughly explained with clear tutorials and examples.
Discover how machine learning is revolutionizing medical image computing and analysis. Learn how to harness the power of machine learning to improve image analysis, diagnose diseases, and develop personalized treatment plans.
Explore the many ways medical image computing is transforming clinical and medical research. From identifying alternative strategies to employing software tools, this book provides a comprehensive understanding of how medical image computing is used in real-world scenarios.
Stay up-to-date with the latest developments in medical image computing with this modern and relevant approach. The book presents a representative selection of topics that match the current state of the field, ensuring readers are well-equipped to tackle the challenges of medical image analysis.
Published by Elsevier Science, this authoritative text is available in English and boasts the following product details:
With its unique blend of fundamental concepts, advanced techniques, and real-world applications, Medical Image Analysis is an indispensable resource for anyone looking to master the field of medical image computing.
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