Artificial Intelligence and Image Processing in Medical Imaging 1st Edition

Artificial Intelligence and Image Processing in Medical Imaging, 1st Edition by Walid A. Zgallai and Dilber Uzun Ozsahin is a timely, practical guide at the intersection of AI and diagnostic imaging. Perfect for radiologists, biomedical engineers, clinical researchers, and advanced students, this book decodes modern image processing and machine learning techniques applied to MRI, CT, ultrasound and other medical modalities.

Begin with clear explanations of preprocessing, noise reduction, segmentation, feature extraction and classification, then progress to state-of-the-art deep learning architectures for detection, quantification and interpretation. Realistic clinical examples and algorithmic workflows bridge theory and practice, helping readers translate models into improved diagnostic workflows and research projects. Emphasis on evaluation metrics, reproducibility and explainability ensures methods are both robust and clinically relevant.

Readers will appreciate the balanced coverage of technical foundations and real-world applications—showing how AI-driven image analysis can enhance diagnostic accuracy, speed up reporting and support decision-making across hospitals and research centers in North America, Europe, Asia and beyond. The text also addresses practical challenges such as data variability, validation strategies and ethical/regulatory considerations for deployment in clinical environments.

Concise, well-structured and richly focused on actionable insight, this edition is an essential resource for anyone working to harness AI in medical imaging. Enhance your practice or research with cutting-edge techniques—order your copy today and start transforming image data into clinical impact.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.