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Fast and Automatic Segmentation of Ascending Aorta in MSCT Volume Data

机译：快速自动分割MSCT体积数据中的升主动脉

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《International Congress on Image and Signal Processing;CISP '09 》|2009年|1-5|共5页
会议地点 Tinajin(CN);Tinajin(CN)
作者
Wang, Shengjun; Fu, Ling; Yue, Yong; Kang, Yan; Liu, Jiren;
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1. Model-based Automatic Segmentation of Ascending Aorta from Multimodality Medical Data [J] . Noha Seada, Safwat Hamad, Mostafa G. M. Mostafa International Journal of Electrical and Computer Engineering . 2016 ,第6期

机译：基于模型的多模态医学数据升主动脉自动分割
2. Volume visualization of the ascending thoracic aorta using isotropic MDCT data: protocol optimization. [J] . Johnson PT, Horton KM, Fishman EK AJR: American Journal of Roentgenology : Including Diagnostic Radiology, Radiation Oncology, Nuclear Medicine, Ultrasonography and Related Basic Sciences . 2010 ,第5期

机译：使用各向同性MDCT数据对胸主动脉上升进行体积可视化：方案优化。
3. Fully automatic deep learning trained on limited data for carotid artery segmentation from large image volumes [J] . Tianshu Zhou, Tao Tan, Xiaoyan Pan, Quantitative Imaging in Medicine and Surgery . 2021 ,第1期

机译：从大图像卷的颈动脉分割有限的全自动深度学习培训
4. Fast and automatic segmentation of ascending aorta in MSCT volume data [C] . Shengjun Wang, Ling Fu, Yong Yue, International Congress on Image and Signal Processing . 2009

机译：MSCT卷数据中升高主动脉的快速和自动分割
5. Automatic segmentation of small pulmonary nodules in computed tomography data using a radial basis function neural network with application to volume estimation [D] . Tuinstra, Timothy Ryan 2008

机译：使用径向基函数神经网络的计算机断层扫描数据中的小肺结节自动分割及其在体积估计中的应用
6. Fully automatic deep learning trained on limited data for carotid artery segmentation from large image volumes [O] . Tianshu Zhou, Tao Tan, Xiaoyan Pan, 2021

机译：从大图像卷的颈动脉分割有限的全自动深度学习培训
7. Model-based Automatic Segmentation of Ascending Aorta from Multimodality Medical Data [O] . Noha Seada, Safwat Hamad, Mostafa G. M. Mostafa 2016

机译：基于模型的升高主动脉从多模医学数据的自动分割

Fast and Automatic Segmentation of Ascending Aorta in MSCT Volume Data

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