Review of Biomedical Image Processing

Biomedical Image Processing, by Thomas M. Deserno [1], is a text that is suitable for clinicians, scientists, and engineers interested in the important topic of how clinical and biomedical images can best be processed for features quantification, and to enhance important visual detail. It is compiled from the notes of multiple authors, all eminent scientists in their field of research. The book is 'all-in-one' in the sense that it can be used as the sole textbook for coursework on this topic, consisting of chapters devoted to image formation and enhancement, feature extraction and selection, image segmentation and classification of features, data visualization, image management and integration, and evaluation and customizing of processing methods.The book begins with an introductory chapter by the editor which includes foundational material, followed by 22 chapters written by experts in biomedical image processing. Each chapter begins with an introductory paragraph, and includes an overview of developments in the particular area of research. Case examples are provided to reinforce the concepts.One problem with books having multiply authored chapters is that they often lack cohesion. However, in this text, many of the chapters build upon information from prior chapters. The flow from one chapter to the next is therefore quite satisfactory. This was enabled in part by the editor providing his written introductory chapter to each of the authors as a guide, as he explains in the Preface. The authors then followed with a broadcast to the group of their proposed chapter outline and contents. This enabled cohesion in form, style, and content between the writings of each author.The chapters are directed at both students and professors. The aim of each chapter is to cover recent advances and to provide up-to-date information, which is done well. Many of the citations at the end of each chapter are from recent work published in the literature. Related textbooks are also provi