机译:成像模式通过机器学习技术预测胶质母细胞瘤患者的生存率和分子亚型
Univ Penn, Dept Neurosurg, Philadelphia, PA 19104 USA;
Univ Penn, Dept Radiol, Philadelphia, PA 19104 USA|Univ Penn, Ctr Biomed Image Comp & Analyt, Philadelphia, PA 19104 USA;
Univ Penn, Dept Neurosurg, Philadelphia, PA 19104 USA;
Univ Penn, Dept Radiol, Philadelphia, PA 19104 USA|Univ Penn, Ctr Biomed Image Comp & Analyt, Philadelphia, PA 19104 USA;
Univ Penn, Dept Neurosurg, Philadelphia, PA 19104 USA;
Univ Penn, Ctr Biomed Image Comp & Analyt, Philadelphia, PA 19104 USA;
Northwestern Univ, Feinberg Sch Med, Dept Biomed Informat, Chicago, IL 60611 USA;
Northwestern Univ, Feinberg Sch Med, Dept Biomed Informat, Chicago, IL 60611 USA;
Northwestern Univ, Feinberg Sch Med, Dept Biomed Informat, Chicago, IL 60611 USA;
Univ Penn, Dept Neurosurg, Philadelphia, PA 19104 USA;
Univ Penn, Dept Neurosurg, Philadelphia, PA 19104 USA;
Univ Penn, Dept Pathol & Lab Med, Philadelphia, PA 19104 USA;
Univ Texas Austin, Inst Computat Engn & Sci, Austin, TX 78712 USA;
Univ Penn, Dept Radiol, Philadelphia, PA 19104 USA;
Univ Penn, Dept Radiol, Philadelphia, PA 19104 USA|Univ Penn, Ctr Biomed Image Comp & Analyt, Philadelphia, PA 19104 USA;
Univ Penn, Dept Neurosurg, Philadelphia, PA 19104 USA|Univ Penn, Dept Pathol & Lab Med, Philadelphia, PA 19104 USA;
Univ Penn, Dept Radiol, Philadelphia, PA 19104 USA|Univ Penn, Ctr Biomed Image Comp & Analyt, Philadelphia, PA 19104 USA;
glioblastoma; imaging; machine learning; predict; survival;
机译:135a成像模式使用机器学习技术预测胶质母细胞瘤患者的生存率和分子亚型
机译:临床和影像学测量中的纵向模式可预测胶质母细胞瘤患者的残余存活率
机译:多模式成像模式可预测贝伐单抗治疗复发性胶质母细胞瘤患者的生存
机译:在扫描器间存在变异的情况下获得稳定的多参数MRI放射学特征:通过成像模式分析和机器学习技术预测胶质母细胞瘤的生存
机译:指标的发展与识别预测尺寸减少技术对静态机器学习算法的影响
机译:成像模式通过机器学习技术预测胶质母细胞瘤患者的生存率和分子亚型
机译:成像模式通过机器学习技术预测胶质母细胞瘤中的患者存活和分子亚型