Department of Electrical and Computer Engineering, The University of Arizona, 1230 E. Speedway, Blvd, Tucson, AZ, USA;
Department of Electrical and Computer Engineering, The University of Arizona, 1230 E. Speedway, Blvd, Tucson, AZ, USA;
Department of Electrical and Computer Engineering, Biomedical Engineering, BIO5 Institute, 1230 E. Speedway, Blvd, Tucson, AZ, USA;
Department of Electrical and Computer Engineering, Biomedical Engineering, BIO5 Institute, 1230 E. Speedway, Blvd, Tucson, AZ, USA;
Image segmentation; Deep learning; Computer architecture; Pathology; Convolutional neural networks; Biological system modeling;
机译:一种深度学习算法,用于组织病理学图像的一步等高识别核细胞分割
机译:基于深度机器学习的数字病理中核分割的多像素分类
机译:基于深度机器学习的数字病理中核分割的多像素分类
机译:利用深度学习计算病理的细胞核检测与分割
机译:基于深度学习和颜色量化的组织学图像的核细胞分割和现实世界丸图像分析
机译:语义分割与分类在计算病理学中的深度学习:在乳腺癌分级中的有丝分裂分析中的应用
机译:用深度度量学习增强多组织和多尺度细胞核细胞分割