Big data in multimodal medical imaging / edited by Ayman El-Baz and Jasjit S. Suri.

Includes bibliographical references and index.

Multimodal imaging radiomics and machine learning -- Multimodal medical image fusion in NSCT domain -- Computer aided diagnosis in pre-clinical dementia: from single- modal metrics to multi-modal fused methodologies -- Automated diagnosis and prediction in cardiovascular diseases using tomographic imaging -- Big data in computational health informatics -- Fast dual optimization for medical image segmentation -- Non-parametric Bayesian estimation of rigid registration for multi-contrast data in big data analysis -- Multimodal analysis in biomedicine -- Towards big data in acute renal rejections -- Overview of deep learning algorithms applied to medical images -- Big data in prostate cancer -- Automatic detection of early signs of diabetic retinopathy based on feature fusion from OCT and OCTA scans -- Computer aided diagnosis system for early detection of diabetic retinopathy using OCT images.