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Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks
2017
NeuroImage: Clinical
Stroke is an acute cerebral vascular disease, which is likely to cause long-term disabilities and death. Acute ischemic lesions occur in most stroke patients. These lesions are treatable under accurate diagnosis and treatments. Although diffusion-weighted MR imaging (DWI) is sensitive to these lesions, localizing and quantifying them manually is costly and challenging for clinicians. In this paper, we propose a novel framework to automatically segment stroke lesions in DWI. Our framework
doi:10.1016/j.nicl.2017.06.016
pmid:28664034
pmcid:PMC5480013
fatcat:fgefw7bjifap7p5wmugu2b6pqa