机译:利用深层学习技术进行肺胸部分割和儿科胸部射线照片肺炎诊断的改进
Institute of Pediatrics Guangzhou Women and Children's Medical CenterGuangzhou Medical;
Department of Anesthesiology Guangzhou Women and Children's Medical CenterGuangzhou Medical;
Department of Anesthesiology Guangzhou Women and Children's Medical CenterGuangzhou Medical;
Department of Software Engineering School of Software EngineeringSouth China University of;
Department of Radiology Guangzhou Women and Children's Medical CenterGuangzhou Medical;
Department of Anesthesiology Guangzhou Women and Children's Medical CenterGuangzhou Medical;
Department of Anesthesiology Guangzhou Women and Children's Medical CenterGuangzhou Medical;
Department of Software Engineering School of Software EngineeringSouth China University of;
Department of Anesthesiology Guangzhou Women and Children's Medical CenterGuangzhou Medical;
Institute of Pediatrics Guangzhou Women and Children's Medical CenterGuangzhou Medical;
deep‐learning; lung segmentation; pediatric chest X‐rays; pneumonia diagnosis; thorax segmentation;
机译:利用深层学习技术进行肺胸部分割和儿科胸部射线照片肺炎诊断的改进
机译:胸部X光片中的肺野分割:历史回顾,当前状态和深度学习的期望
机译:深度学习模型在胸部X光片中检测肺炎的可变泛化性能:一项横断面研究
机译:肺炎肺炎的两级深度学习架构及其胸部射线照相诊断
机译:用深入学习检测冠状病毒疾病2019胸X射线图像肺炎
机译:胸部射线照片可转胸异常的深度学习算法的性能:健康筛选队列的多中心研究
机译:胸部射线照片可转胸异常的深度学习算法的性能:健康筛选队列的多中心研究