Medical Imaging Informatics provides an overview of this growing discipline, which stems from an intersection of biomedical informatics, medical imaging, computer science and medicine. Supporting two complementary views, this volume explores the fundamental technologies and algorithms that comprise this field, as well as the application of medical imaging informatics to subsequently improve healthcare research. Clearly written in a four part structure, this introduction follows natural healthcare processes, illustrating the roles of data collection and standardization, context extraction and modeling, and medical decision making tools and applications. Medical Imaging Informatics identifies core concepts within the field, explores research challenges that drive development, and includes current state-of-the-art methods and strategies.In: Doucet A, de Freitas JFG, Gordon N (eds) Sequential Monte Carlo Methods in Practice. ... Kuncheva LI (2006) On the optimality of naAmve Bayes with dependent binary features. ... Nease RF, Owens DK (1997) Use of influence diagrams to structure medical decisions. ... Poole D (2003) First-order probabilistic inference.
|Title||:||Medical Imaging Informatics|
|Author||:||Alex A.T. Bui, Ricky K. Taira|
|Publisher||:||Springer Science & Business Media - 2009-12-01|