机译:与人类读者相比,深入学习神经网络检测3D TOF-MRA的颅内动脉瘤的性能
Univ Hosp Bonn Dept Radiol Sigmund Freud Str 25 D-53127 Bonn Germany;
Univ Hosp RWTH Aachen Dept Diagnost &
Intervent Neuroradiol Aachen Germany;
Univ Hosp RWTH Aachen Dept Diagnost &
Intervent Neuroradiol Aachen Germany;
Univ Hosp Bonn Dept Radiol Sigmund Freud Str 25 D-53127 Bonn Germany;
Univ Hosp RWTH Aachen Dept Diagnost &
Intervent Neuroradiol Aachen Germany;
Univ Hosp RWTH Aachen Dept Diagnost &
Intervent Neuroradiol Aachen Germany;
Univ Hosp RWTH Aachen Dept Diagnost &
Intervent Neuroradiol Aachen Germany;
Univ Hosp RWTH Aachen Dept Diagnost &
Intervent Neuroradiol Aachen Germany;
Univ Hosp RWTH Aachen Dept Diagnost &
Intervent Neuroradiol Aachen Germany;
Cerebral aneurysm; Artificial intelligence; Incidental findings; Magnetic resonance imaging; Computer-aided detection;
机译:3D TOF-MRA中颅内动脉瘤的深度学习检测
机译:检测计算机断层造影图像中颅内动脉瘤的临床应用深度学习模型
机译:3D飞行时间MR血管造影与数字减影血管造影对螺旋状颅内动脉瘤的随访诊断准确性:动脉瘤大小的影响
机译:基于血管骨架和增强型动脉瘤的3D分析的MRA颅内动脉瘤检测CAD方案
机译:基于3D表面分析的颅内动脉瘤自动检测和分类。
机译:基于深度学习的3D TOF-MRA颅内动脉瘤检测
机译:比较TOF-MRAS匿名颅内动脉瘤检测和分割的比较方法:ADAM挑战
机译:为paraView设计和实现OVERFLOW读取器并比较中央处理单元和图形处理单元之间的性能