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机译:机器学习算法对腹主动脉瘤的比较分类分析
Univ Texas San Antonio Dept Mech Engn One UTSA Circle San Antonio TX 78249 USA;
Univ Texas San Antonio Dept Mech Engn One UTSA Circle San Antonio TX 78249 USA;
Univ Texas San Antonio Dept Management Sci &
Stat San Antonio TX 78249 USA;
Univ Texas San Antonio Dept Management Sci &
Stat San Antonio TX 78249 USA;
Allegheny Gen Hosp Dept Thorac &
Cardiovasc Surg Pittsburgh PA 15212 USA;
Northwestern Univ Feinberg Sch Med Chicago IL 60611 USA;
Carlow Univ Dept Math &
Data Analyt Pittsburgh PA USA;
Univ Texas San Antonio Dept Mech Engn One UTSA Circle San Antonio TX 78249 USA;
Abdominal aortic aneurysm; Rupture risk evaluation; Image segmentation; Machine learning; Generalized additive model;
机译:机器学习算法对腹主动脉瘤的比较分类分析
机译:颈动脉瘤。肾下腹主动脉瘤的比较研究和新分类的主张。
机译:破裂性和非破裂性腹主动脉瘤的有限元分析对主动脉壁应力的比较研究。
机译:腹主动脉瘤的预后:一种结合临床,形态,生物力学和纹理信息的机器学习方法
机译:梭状腹主动脉瘤的生长和破裂分析。
机译:超声乳房病变中传统机器学习算法卷积神经网络和自动视力的性能评价:比较研究
机译:基于机器学习的腹主动脉瘤预测个性化患者护理