机译:基于深入学习的瘢痕分割策略的开发与测试CMR-LGE图像
Department of Information Engineering Universitá Politecnica delle Marche Ancona Italy;
Department of Electronics Information and Bioengineering Politecnico di Milano Milan Italy;
Diagnostic Department Azienda Ospedaliera-Universitaria di Parma Parma Italy;
Clinical Cardiology Unit and Department of Cardiovascular Imaging Centro Cardiologico Monzino IRCCS Milan Italy;
Clinical Cardiology Unit and Department of Cardiovascular Imaging Centro Cardiologico Monzino IRCCS Milan Italy;
Clinical Cardiology Unit and Department of Cardiovascular Imaging Centro Cardiologico Monzino IRCCS Milan Italy;
Department of Electronics Information and Bioengineering Politecnico di Milano Milan Italy;
Scar segmentation; Deep learning; Fully-convolutional neural networks; CMR-LGE images;
机译:基于深入学习的瘢痕分割策略的开发与测试CMR-LGE图像
机译:减少基于深度学习的专家监督的战略组织病理学图像的细分
机译:在超短期回声时间内由螺旋轨迹获取的MR图像中肺部的深度学习分割
机译:使用深度学习方法从CMR-LGE图像自动进行疤痕分割
机译:深入学习模型的应用医学图像/视频分割
机译:减少基于深度学习的组织病理学图像分割所需的专家监督的策略
机译:基于深度学习的瘢痕分割策略的开发与测试CMR-LGE图像