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Novel Approaches to Detection of Cerebral Microbleeds: Single Deep Learning Model to Achieve a Balanced Performance
Cerebral microbleeds (CMBs) are considered essential indicators for the diagnosis of cerebrovascular disease and cognitive disorders. Traditionally, CMBs are manually interpreted based on criteria including the shape, diameter, and signal characteristics after an MR examination, such as susceptibility-weighted imaging or gradient echo imaging (GRE). In this paper, an efficient method for CMB detection in GRE scans is presented.
Source: Journal of Stroke and Cerebrovascular Diseases - June 24, 2021 Category: Neurology Authors: Min Jae Myung, Kyung Mi Lee, Hyug-Gi Kim, Janghoon Oh, Ji Young Lee, Ilah Shin, Eui Jong Kim, Jin San Lee Source Type: research