The book “Fundamentals of Digital Image Processing in Medical Applications” delves into the complex relationship between technology and healthcare, emphasizing the significant impact of image processing on diagnostics and treatment. This book encompasses a broad spectrum of subjects, commencing with the fundamental principles of digital image processing and progressing to intricate techniques that are crucial to contemporary medical imaging systems. It explores the techniques that are employed in medical applications to improve image quality, including contrast adjustment, noise reduction, and edge detection, to give readers a comprehensive comprehension of their application. Pattern recognition, automated diagnostics, and image classification are all examples of artificial intelligence that are revolutionizing healthcare practices. A particular emphasis is placed on their integration into the field. The book also tackles the critical challenges in medical imaging, including the necessity for precise tumor detection, multimodal image integration, and the storage and retrieval of medical images. “Fundamentals of Digital Image Processing in Medical Applications” is a valuable educational resource and reference for anyone interested in understanding the intersection of image processing and medical technology, as it provides a diverse array of theoretical foundations, real-world applications, and emerging trends.