This book examines state-of-the-art Computer-Aided Diagnosis (CAD) methods, from machine learning to generative AI. It offers a critical analysis of CNN models and presents an improved diagnostic framework with excellent accuracy for real-time clinical applications.
Medical image interpretation is time-consuming and prone to error. This collection explores how AI and computer vision are creating a paradigm shift in healthcare by enhancing diagnostic accuracy and speed, leading to personalized treatment and improved patient care.