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PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging

机译：PENet-可扩展的深度学习模型使用体积CT成像自动诊断肺栓塞

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摘要

Model performance.

机译：模型性能。

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期刊名称 NPJ Digital Medicine
作者
Shih-Cheng Huang; Tanay Kothari; Imon Banerjee; Chris Chute; Robyn L. Ball; Norah Borus; Andrew Huang; Bhavik N. Patel; Pranav Rajpurkar; Jeremy Irvin; Jared Dunnmon; Joseph Bledsoe; Katie Shpanskaya; Abhay Dhaliwal; Roham Zamanian; Andrew Y. Ng; Matthew P. Lungren;
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年(卷),期 2020(3),-1
年度 2020
页码 -1
总页数 9
原文格式 PDF
正文语种
中图分类
关键词
Cardiovascular diseases; Radiography;

机译：心血管疾病;放射照相;

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专利

1. PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging [J] . Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, npj Digital Medicine . 2020,第1期

机译：PENET - 一种可扩展的深度学习模型，用于使用体积CT成像自动诊断肺栓塞
2. SPECT imaging in the diagnosis of pulmonary embolism: automated detection of match and mismatch defects by means of image-processing techniques. [J] . Reinartz P, Kaiser HJ, Wildberger JE, The Journal of Nuclear Medicine . 2006,第6期

机译：SPECT成像在肺栓塞的诊断中：通过图像处理技术自动检测匹配和不匹配缺陷。
3. SPECT Imaging in the Diagnosis of Pulmonary Embolism: Automated Detection of Match and Mismatch Defects by Means of Image-Processing Techniques [J] . Patrick Reinartz, Hans-Juergen Kaiser, Joachim E. Wildberger, The Journal of Nuclear Medicine . 2006,第6期

机译：SPECT成像在肺栓塞的诊断中：通过图像处理技术自动检测匹配和不匹配缺陷
4. Automated Detection of Pulmonary Embolism (PE) in Computed Tomographic Pulmonary Angiographic (CTPA) Images: Multiscale Hierachical Expectation-Maximization Segmentation of Vessels and PEs [C] . Chuan Zhou, Heang-Ping Chan, Lubomir M. Hadjiiski, Computer-Aided Diagnosis pt.2; Progress in Biomedical Optics and Imaging; vol.8,no.33; Proceedings of SPIE-The International Society for Optical Engineering; vol.6514 pt.2 . 2007

机译：在计算机断层扫描肺血管造影（CTPA）图像中自动检测肺栓塞（PE）：血管和PE的多尺度分层期望最大化分割
5. Computer aided diagnosis of acute pulmonary embolism. [D] . Frederick, Erik Douglas. 2000

机译：急性肺栓塞的计算机辅助诊断。
6. Author Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging [O] . Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, 2020

机译：作者校正：PENET - 一种可扩展的深度学习模型用于使用体积CT成像自动诊断肺栓塞
7. Author Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging [O] . Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, 2020

机译：作者校正：PENET - 一种可扩展的深度学习模型，用于使用体积CT成像自动诊断肺栓塞
8. Noninvasive Diagnosis of Pulmonary Embolism: Positive Image Scanning Agent for Pulmonary Embolism [R] . Parkhill, B. J., Parkey, R. W., Wilson, J. E., 1981

机译：无创性肺栓塞诊断：肺栓塞阳性图像扫描剂

PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging

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