Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands,University of Burgundy, Dijon, France,University of Cassino and Southern Lazio, Cassino, Italy,University of Girona, Girona, Spain;
Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands;
Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands,Delft University of Technology, Delft, The Netherlands;
Breast cancer; Digital mammography Convolutional neural networks; Symmetry; Deep learning Mass detection;
机译:深入学习,以改善乳腺癌筛选乳腺癌的乳腺癌检测
机译:基于深度学习的乳腺癌乳腺癌检测中的深度学习CAD
机译:一种新颖的基于深度学习的框架,通过转移学习对乳腺癌进行检测和分类
机译:利用深层学习的对称信息改善乳腺癌检测
机译:登记人类乳腺钼靶和超声检查以改善乳腺癌检测
机译:深度学习可提高乳房X线筛查中乳腺癌的检测率
机译:利用深层学习的对称信息改善乳腺癌检测
机译:改善专用乳腺癌的癌症检测和剂量效率