机译:基于多标准的标签融合的高阶特征学习:应用于MRI的脑细分
Nanjing Univ Aeronaut & Astronaut MIIT Key Lab Pattern Anal & Machine Intelligence Nanjing 211106 Peoples R China|Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing 211106 Peoples R China;
Nanjing Univ Aeronaut & Astronaut MIIT Key Lab Pattern Anal & Machine Intelligence Nanjing 211106 Peoples R China|Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing 211106 Peoples R China;
Nanjing Univ Aeronaut & Astronaut MIIT Key Lab Pattern Anal & Machine Intelligence Nanjing 211106 Peoples R China|Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing 211106 Peoples R China;
Nanjing Univ Aeronaut & Astronaut MIIT Key Lab Pattern Anal & Machine Intelligence Nanjing 211106 Peoples R China|Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing 211106 Peoples R China;
Nanjing Univ Aeronaut & Astronaut MIIT Key Lab Pattern Anal & Machine Intelligence Nanjing 211106 Peoples R China|Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing 211106 Peoples R China|Taishan Univ Dept Informat Sci & Technol Tai An 271000 Shandong Peoples R China;
High-order features; multi-atlas; ROI segmentation;
机译:基于可靠性的鲁棒多图谱标签融合技术用于脑MRI分割
机译:基于可靠性的强大的脑MRI分段的多标志标签融合
机译:分裂BREGMAN方法应用三维MRI组织分割的快速级别模型融合
机译:基于高阶boltzmann机器的无监督特征学习,用于多图集分割
机译:脑MR图像分割:从多拟标方法到深度学习模型
机译:基于多图集的图像分割中标签融合的半监督与监督学习方法的集成
机译:基于患者特定MRI的颅骨分割的多图谱和标签融合方法