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Quantitative analysis and segmentation of knee MRI using layered optimal graph segmentation of multiple objects and surfaces.

机译：使用多个对象和表面的分层最佳图分割对膝盖MRI进行定量分析和分割。

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作者
Kashyap, Satyananda.;
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作者单位

The University of Iowa.;

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授予单位 The University of Iowa.;
学科 Medical imaging.;Computer engineering.;Engineering.
学位 Ph.D.
年度 2016
页码 105 p.
总页数 105
原文格式 PDF
正文语种 eng
中图分类
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专利

1. LOGISMOS—Layered Optimal Graph Image Segmentation of Multiple Objects and Surfaces: Cartilage Segmentation in the Knee Joint [J] . Yin Y., Zhang X., Williams R., Medical Imaging, IEEE Transactions on . 2010,第12期

机译：LOGISMOS-多个对象和表面的分层最佳图形图像分割：膝关节中的软骨分割
2. LOGISMOS-B: Layered Optimal Graph Image Segmentation of Multiple Objects and Surfaces for the Brain [J] . Oguz I., Sonka M. Medical Imaging, IEEE Transactions on . 2014,第6期

机译：LOGISMOS-B：大脑的多个对象和表面的分层最优图形图像分割
3. QUANTITATIVE ANALYSIS OF THE INNER RETINAL LAYER THICKNESSES IN AGE-RELATED MACULAR DEGENERATION USING CORRECTED OPTICAL COHERENCE TOMOGRAPHY SEGMENTATION [J] . Muftuoglu Ilkay Kilic, Ramkumar Hema L., Bartsch Dirk-Uwe, Retina . 2018,第8期

机译：使用校正光学相干断层扫描分割对年龄相关性黄斑变性的内视层厚度的定量分析
4. Quantitative Evaluation of Six Graph Based Semi-Automatic Liver Tumor Segmentation Techniques Using Multiple Sets of Reference Segmentation [C] . Zihua Su, Xiang Deng, Christophe Chefdhotel, Conference on image perception, observer performance, and technology assessment . 2011

机译：使用多组参考分割对六种基于图的半自动肝肿瘤分割技术进行定量评估
5. Multi-surface, multi-object optimal image segmentation: Application in three-dimensional knee joint imaged by MR. [D] . Yin, Yin. 2010

机译：多表面，多对象的最佳图像分割：在MR成像的三维膝关节中的应用。
6. LOGISMOS—Layered Optimal Graph Image Segmentation of Multiple Objects and Surfaces: Cartilage Segmentation in the Knee Joint [O] . Yin Yin, Xiangmin Zhang, Rachel Williams, -1

机译：多个物体和表面的LOGIsmOs-分层最优图形图像分割：软骨分割在膝关节
7. Quantitative analysis and segmentation of knee MRI using layered optimal graph segmentation of multiple objects and surfaces [O] . Satyananda Kashyap -1

机译：基于多个物体和表面分层最优图分割的膝关节mRI定量分析与分割

Quantitative analysis and segmentation of knee MRI using layered optimal graph segmentation of multiple objects and surfaces.

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