High fidelity coronary CT angiography generated by deep learning based post hoc denoising method improved the diagnostic performance of the coronary perivascular fat attenuation index
High fidelity coronary CT angiography generated by deep learning based post hoc denoising method improved the diagnostic performance of the coronary perivascular fat attenuation index
复制标题
基于深度学习的事后去噪方法生成的高保真冠状动脉CT血管造影提高了冠状动脉血管周围脂肪衰减指数的诊断性能
DOI：
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Tetsuya Fukuda
中科院分区：
文献类型：
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作者：
Tatsuya Nishii;Takuma Kobayashi;Akiyuki Kotoku;Kensuke Umehara;Junko Ota;Hiroki Horinouchi;Yasutoshi Ohta;Yoshiaki Morita;Takayuki Ishida;Tetsuya Fukuda
