Application of Image Processing Methods in the Healthcare Sector

The thorough reference book "Image Processing Techniques for Healthcare: Advances and Applications" addresses the fascinating nexus between medical research and cutting-edge image processing techniques. It comprehensively elucidates the concepts, methodologies, and healthcare-related image processing applications. As an essential part of contemporary healthcare, medical imaging supports diagnosing, managing, and overseeing various medical problems. New image processing techniques are required to extract useful information, boost diagnostic precision, and improve patient care from the growing amount and complexity of medical pictures. These critical areas of application and their influence are highlighted in this abstract, which summarises the crucial role that image-processing technologies play in healthcare. It explores how image-processing techniques are essential for enhancing the quality of medical images, supporting clinical decision-making, and advancing medical research in an era where medical imaging is critical for diagnosis, treatment, and patient care. The book covers many subjects, from the core concepts of digital image processing to the most recent developments in medical image analysis. This book covers picture preprocessing, image segmentation, image registration, and three-dimensional reconstruction. A combination of machine learning and artificial intelligence algorithms for automated diagnosis and prognosis is also covered in depth. The main focus is how image processing methods are used in real-world settings in areas of medicine like radiology, cardiology, pathology, and neurology. Disease identification, planning of therapy, and surveillance of patients in healthcare settings. Investigations and actual-life scenarios are used to demonstrate how these strategies are applied.