This book provides extensive details on the mathematical fundamentals, equations, procedures, and algorithms for biomedical image analysis. It presents various approaches towards pattern classification, diagnostic decision making, and computer-aided diagnosis.
Biomedical Image Analysis, Second Edition, introduces the basics of biomedical imaging and characteristics of biomedical images. The authors explain various notions regarding image quality and information content and provide extensive details on filtering images to remove noise as well as for image enhancement and image restoration. The book also explores in detail several methods for image segmentation, detection of regions of interest, and landmarking of medical images. It provides mathematical details of numerous methods for extraction of features and quantitative analysis of shape, texture, and oriented patterns. The book also presents balanced and integrated descriptions of the mathematical, algorithmic, biomedical, clinical, and practical application of biomedical image analysis. The material in the book provides more than adequate resources for a one-semester course giving an introduction to the subject area, as well as an advanced course on medical image analysis and computer-aided diagnosis.
The book is primarily directed at undergraduate, graduate, and post graduate electrical and computer engineering students as well as biomedical and data-analytics students. Practicing engineers, computer scientists, information technologists, medical physicists, and data analysis specialists working in diverse areas such as biomedical applications, informatics, and hospital information systems will also find this book useful in their quest to learn advanced techniques for image analysis