This chapter explores the application of deep learning techniques in medical image classification. It covers convolutional neural networks (CNNs), transfer learning approaches, and real-world case studies in radiology and pathology. The chapter also discusses challenges such as data imbalance, explainability, and regulatory concerns in AI-driven healthcare systems.
