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机译:基于机器学习的3D CT图像胆管分割和概率地图辅助区域生长
Graduate School of Information Science Nagoya University;
Division of Surgical Oncology Department of Surgery Graduate School of Medicine Nagoya University;
Graduate School of Information Science Nagoya University;
Graduate School of Information Science Nagoya University;
Division of Surgical Oncology Department of Surgery Graduate School of Medicine Nagoya University;
Division of Surgical Oncology Department of Surgery Graduate School of Medicine Nagoya University;
Strategy Office Information and Communications Nagoya University;
Bile duct; Segmentation; Support vector machine; Probability map; Region growing;
机译:基于机器学习和概率图辅助区域生长的基于机器学习的3D CT图像胆管分割
机译:元素:基于耦合区域生长和机器学习方法的多模态视网膜血管分割
机译:在医学图像分割中将机器学习与基于区域的活动轮廓模型集成
机译:利用3D区域增长技术分割CT图像中的椎管区域
机译:结合了机器学习和基于图的框架,可对SD-OCT图像中的视网膜结构进行3-D自动分割。
机译:基于机器学习的3D CT图像的3D几何重建和主动脉瓣变形建模
机译:基于区域增长法的3D医学图像分割