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集成的深度学习模型用于检测,细分和用CT血管学进行内动脉瘤的形态分析

Yi Yang1, Zhenyao Chang1, Xin Nie1

  • 1From the Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China (Y.Y., Z.C., X.N., J.W., H.H., S.W., Q.L.); China National Clinical Research Center for Neurologic Diseases, Beijing, China (Y.Y., Z.C., X.N., J.W., S.W., Q.L.); Unimed Technology (Beijing), Tsinghua Tongfang Science and Technology Mansion, Beijing, China (J.C., W.L.); Beijing Neurosurgical Institution, Capital Medical University, Beijing, China (Z.C., H.H.); and Department of Radiology, University of Washington, Seattle, Wash (C.Z.).

Radiology. Artificial intelligence
|November 6, 2024
PubMed
概括

一个新的深度学习模型使用CT血管学 (CTA) 数据准确地测量未破裂的内动脉瘤 (UIA). 这种人工智能工具可以提高初级放射科医生的UIA形态分析的表现.

关键词:
动脉动脉瘤是一个神经系统.图像扫描血管学 CT血管学进行比较研究.头部 / 部 / 部分段化 分段化 分段化 分段化

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