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机译:自动检测全幻灯片H&E染色的乳腺癌组织病理学图像中的DCIS
Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands;
department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands;
Hamamatsu Tissue Imaging and Analysis Center, University of Heidelberg, Heidelberg, Germany;
Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands;
department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands;
Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands;
department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands;
Lesions; Cancer; Feature extraction; Clustering algorithms; Pathology; Design automation; Breast tissue;
机译:使用深卷积神经网络架构自动分割全载H&E染色乳腺组织病理学图像
机译:H&E乳腺组织学中的全幻灯片有丝分裂检测,以PHH3为参考,以训练蒸馏的染色不变卷积网络
机译:组织病理学全载图像稳健染色标准化的高性能系统
机译:乳腺癌组织病理学图像的自动分类:污点归一化重要吗?
机译:乳腺癌组织病理学中基于图像的自动化检测和淋巴细胞浸润分级。
机译:高性能的组织病理学完整幻灯片图像的污点归一化
机译:H&E染色乳腺癌组织病理学图像中的自动核分割。
机译:基于微嵌合体的Y染色体染色和组织病理学分析干细胞对乳腺癌的贡献