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Artificial Intelligence (AI) and image processing are revolutionizing the field of medical imaging, enabling healthcare professionals to make more accurate diagnoses and informed decisions. “Artificial Intelligence and Image Processing in Medical Imaging” by Walid A. Zgallai is a comprehensive guide that delves into the applications of AI in medical imaging, facilitating better decision-making through high-quality data analysis.
This book provides an in-depth exploration of the basics of medical imaging and the principles of image processing, covering spatial and frequency domain applications, image compression techniques, and image segmentation methods. Readers will gain a thorough understanding of object detection and classification applications, as well as statistical analysis in biomedical systems.
The book also examines the role of Machine Learning, including Neural Networks and Deep Learning, in AI applications, highlighting the implications of the expansion of artificial intelligence in medical imaging. With contributions from renowned researchers worldwide, this book offers up-to-date and comprehensive coverage of AI techniques, ensuring readers stay informed about the latest developments in the field.
The book provides clear examples and illustrations of medical imaging applications, including segmentation, classification, and detection. Readers will gain practical insights into how AI techniques are used in problem-solving, from image acquisition to analysis and implementation.
“Artificial Intelligence and Image Processing in Medical Imaging” is an essential resource for professionals, researchers, and students seeking to stay at the forefront of AI applications in medical imaging. With its comprehensive coverage and clear explanations, this book is an invaluable tool for anyone looking to unlock the full potential of AI in medical imaging.
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