Machine Learning Applications in Medical Image Analysis

Call for Papers Machine learning is one of the major tools of medical image analysis for today’s computer-aided diagnosis (CAD). Prior knowledge, learned from characteristic examples provided by medical experts, helps to guide image registration, fusion, segmentation, and other analyzing steps towards describing accurately the initial data and CAD goals and extracting reliable diagnostic cues. For example, quantitative 3D shape analyses of the corpus callosum on brain MRI help in diagnosing autism or dyslexia. Although the CAD systems employ many promising and efficient learning techniques, recent neuroimaging advances in functional and structural magnetic resonance imaging (MRI), such as, for example, diffusion-weighted MRI and other modalities for visualizing brain and nervous system, call for both enhancing known traditional learning methods and applying new prospective ones (such as, e.g., deep learning of…


Link to Full Article: Machine Learning Applications in Medical Image Analysis