Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for definitive diagnosis. However, conventional manual segmentation remains time-consuming and operator-dependent, whereas current computer-aided tools fall short in achieving the accuracy required for clinical applications. These technological bottlenecks severely hamper precise diagnosis and treatment of ischemic stroke.
In a study published in European Radiology, a research team led by Dr. Zhang Na from the Shenzhen Institutes of Advanced Technology (SIAT) of Chinese Academy of Sciences, along with collaborators, has developed a fully learnable…
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