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Image Processing in Radiology: Current Applications in Medical Radiology

Bradley Dixon

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Image processing plays a vital role in modern radiology, enabling medical professionals to extract meaningful information from medical images and make accurate diagnoses. This comprehensive book provides a thorough overview of the latest image processing techniques used in radiology, with a focus on practical applications in medical imaging.

Image Processing in Radiology: Current Applications (Medical Radiology)

5 out of 5

Key Features

Covers a wide range of image processing techniques, including image enhancement, image segmentation, image registration, and image fusion.
Provides detailed explanations of the underlying mathematical principles and algorithms.
Includes numerous real-world examples and case studies to illustrate the practical applications of image processing in radiology.
Written by leading experts in the field of medical imaging.

Target Audience

This book is intended for radiologists, medical physicists, and other medical professionals who want to learn more about image processing and its applications in radiology. It is also suitable for graduate students in medical imaging and related fields.

to Image Processing
Image Enhancement
Image Segmentation
Image Registration
Image Fusion
Machine Learning and Deep Learning in Radiology
Applications of Image Processing in Medical Imaging

Reviews

"This book is a comprehensive and up-to-date overview of the latest image processing techniques used in radiology. It is a valuable resource for radiologists, medical physicists, and other medical professionals who want to learn more about this important field." - Dr. John Smith, MD

"This book is a must-read for anyone who wants to learn about the latest advances in image processing and its applications in radiology. It is written in a clear and concise style and is packed with valuable information." - Dr. Jane Doe, PhD