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Segmentation of medical images combining local, regional, global, and hierarchical distances into a bottom-up region merging scheme

机译：医学图像的分割将局部，区域，全局和分层距离结合到一个自下而上的区域合并方案中

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Thomas M. Lehmann; Daniel Beier; Christian Thies; Thomas Seidl A;
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年度 2008
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1. Hierarchical MRF of globally consistent localized classifiers for 3D medical image segmentation [J] . Park S.H., Lee S., Yun I.D., Pattern Recognition: The Journal of the Pattern Recognition Society . 2013,第9期

机译：用于3D医学图像分割的全局一致的本地化分类器的分层MRF
2. An improved edge-based level set method combining local regional fitting information for noisy image segmentation [J] . Cheng Liu, Weibin Liu, Weiwei Xing Signal processing . 2017,第jana期

机译：一种改进的基于边缘的水平集方法，结合局部区域拟合信息进行噪声图像分割
3. Local region statistics combining multi-parameter intensity fitting module for medical image segmentation with intensity inhomogeneity and complex composition [J] . Zhao Fan, Zhao Jian, Zhao Wenda, Optics & Laser Technology . 2016,第Null期

机译：结合多参数强度拟合模块进行局部图像统计的强度不均匀和复杂成分的医学图像分割
4. Segmentation of medical images combining local, regional, global, and hierarchical distances into a bottom-up region merging scheme [C] . Thomas M. Lehmann, Daniel Beier, Christian Thies, Society of Photo-Optical Instrumentation Engineers (SPIE);SPIE Proceedings . 2005

机译：医学图像的分割将局部，区域，全局和分层距离组合到一个自下而上的区域合并方案中
5. Globally Optimal Surface Segmentation for Medical Images Using Deep Learning: Algorithms, Robustness and Applications [D] . ?Zhou, Leixin 2020

机译：整体优化曲面细分为使用Deep 学习医学图像：算法，鲁棒性及应用
6. A hybrid region growing tumour segmentation method for low contrast and high noise Nuclear Medicine (NM) images by combining a novel non-linear diffusion filter and global gradient measure (HNDF-GGM-RG) [O] . Mahbubunnabi Tamal 2019

机译：结合新型非线性扩散滤波器和全局梯度测度（HNDF-GGM-RG）的低对比度和高噪声核医学（NM）图像的混合区域生长肿瘤分割方法
7. Segmentation of medical images combining local, regional, global, and hierarchical distances into a bottom-up region merging scheme [O] . Lehmann Thomas Martin, Beier Daniel, Thies Christian, 2005

机译：医学图像的分割将局部，区域，全局和分层距离组合到一个自下而上的区域合并方案中

Segmentation of medical images combining local, regional, global, and hierarchical distances into a bottom-up region merging scheme

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