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Optical Coherence Tomography Vulnerable Plaque Segmentation Based on Deep Residual U-Net.

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第一作者： Lincan,Li

第一单位： College of Mechanical Engineering and Automation, Northeastern University, Shenyang, 110004, P. R. China.

作者： Lincan,Li ^[1] ; Tong,Jia ^[2]

作者单位： College of Mechanical Engineering and Automation, Northeastern University, Shenyang, 110004, P. R. China. ^[1] College of Information Science and Engineering, Northeastern University, Shenyang, 110004, P. R. China. ^[2]

关键词 Intravascular optical coherence tomography boundary segmentation encoder-decoder architecture image semantic segmentation residual block

医学主题词冠状动脉疾病(Coronary Artery Disease);冠状血管(Coronary Vessels);熵(Entropy);人类(Humans);图像解释, 计算机辅助(Image Interpretation, Computer-Assisted);斑块, 动脉粥样硬化(Plaque, Atherosclerotic);试验预期值(Predictive Value of Tests);预后(Prognosis);结果可重复性(Reproducibility of Results);破裂, 自发性(Rupture, Spontaneous);体层摄影术, 光学相干(Tomography, Optical Coherence)

DOI 10.31083/j.rcm.2019.03.5201

PMID 31601091

发布时间 2020-01-08

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Reviews in cardiovascular medicine

2019年20卷3期

171-177页

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2019年20卷3期

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Optical Coherence Tomography Vulnerable Plaque Segmentation Based on Deep Residual U-Net.

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Optical Coherence Tomography Vulnerable Plaque Segmentation Based on Deep Residual U-Net.

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