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MR Images, Brain Lesions, and Deep Learning
2021
Applied Sciences
Medical brain image analysis is a necessary step in computer-assisted/computer-aided diagnosis (CAD) systems. Advancements in both hardware and software in the past few years have led to improved segmentation and classification of various diseases. In the present work, we review the published literature on systems and algorithms that allow for classification, identification, and detection of white matter hyperintensities (WMHs) of brain magnetic resonance (MR) images, specifically in cases of
doi:10.3390/app11041675
fatcat:ivwi2tp52ngstdoelbsjglhem4