机译:SENS:具有选择性边缘增强的PAP涂片图像中的核细胞分割
Key Laboratory of Computer Vision and System of Ministry of Education School of Computer Science and Engineering Tianjin University of Technology China Department of Computer Science Norwegian University of Science and Technology Norway;
Department of Computer Science Norwegian University of Science and Technology Norway;
Key Laboratory of Computer Vision and System of Ministry of Education School of Computer Science and Engineering Tianjin University of Technology China;
Department of Computer science St. Francis Xavier University Canada;
Faculty of Information Technology Macau University of Science and Technology Macau;
School of Medical Laboratory Tianjin Medical University China;
College of Electrical Engineering Sichuan University China;
Department of Computer Science Norwegian University of Science and Technology Norway;
Nuclei segmentation; Selective search; Selective edge enhancement; Canny operator; Chan-Vese model;
机译:一种形状上下文全卷积神经网络,用于PAP涂片图像中宫颈核细胞核的分割和分类
机译:从PAP涂抹细胞图像中核的自动分割:探讨宫颈癌筛查的一步
机译:子宫颈抹片涂片图像的自动细胞核分割和分类
机译:基于CNN的PAP涂片图像中核的选择性预处理
机译:SAR图像的边缘增强分割。
机译:宫颈涂片涂片分析工具(PAT)用于从宫颈涂片涂片图像中检测宫颈癌
机译:子宫颈抹片检查图像中的细胞核分割子宫颈抹片检查图像中的细胞核分割