Publisher: IGI Global
Year of Publication: 2016
Author(s) : Wahiba Ben Abdessalem Karâa and Nilanjan Dey
Every second, users produce large amounts of image data from medical and satellite imaging systems. Image mining techniques that are capable of extracting useful information from image data are becoming increasingly useful, especially in medicine and the health sciences.
Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes addresses major techniques regarding image processing as a tool for disease identification and diagnosis, as well as treatment recommendation. Highlighting current research intended to advance the medical field, this publication is essential for use by researchers, advanced-level students, academicians, medical professionals, and technology developers.
An essential addition to the reference material available in the field of medicine, this timely publication covers a range of applied research on data mining, image processing, computational simulation, data visualization, and image retrieval.
This insightful publication covers a wide array of topics like Biomedical Information Retrieval, Brain-Computer Interfaces, Computer-Aided Detection (CAD) and Diagnosis, Content-Based Image Retrieval, Medical and Biological Imaging, Medical Images and Signal Analysis, Modeling, Simulation, and Visualization, Molecular and Cellular Image Analysis and Segmentation of Medical Images.