Clinical Imaging Diagnosis: Data-Driven Techniques, Analytical Frameworks and Practical Applications

This book takes an in-depth look at the latest advancements in medical imaging and how they’re transforming healthcare. This book covers a wide variety of topics, including how AI is being used for early detection of cancers like ovarian and breast cancer, and how machine learning is improving cardiac, neurological, and lung cancer diagnoses. It also explores how deep learning techniques are helping doctors classify ulcers in gastrointestinal images, predict stroke risks, and protect imaging devices from cyber threats. Additionally, the book highlights the role of Explainable AI (XAI) in making medical imaging more trustworthy. Aimed at healthcare professionals, researchers, and students, this guide provides a thorough understanding of how these emerging technologies are shaping the future of medical diagnostics and clinical practice.