相似文献/References:
[1]秦楠楠,薛旭东,吴爱林,等.基于U-net卷积神经网络的宫颈癌临床靶区和危及器官自动勾画的研究[J].中国医学物理学杂志,2020,37(4):524.[doi:DOI:10.3969/j.issn.1005-202X.2020.04.023]
QIN Nannan,XUE Xudong,WU Ailin,et al.Automatic segmentation of clinical target volumes and organs-at-risk in radiotherapy for cervical cancer using U-net convolutional neural network[J].Chinese Journal of Medical Physics,2020,37(8):524.[doi:DOI:10.3969/j.issn.1005-202X.2020.04.023]
[2]杨勇,吴慕禹,苗丽霞,等.高压氧辅助治疗新型冠状病毒肺炎的介入时机及其临床疗效[J].中国医学物理学杂志,2020,37(5):641.[doi:10.3969/j.issn.1005-202X.2020.05.021]
YANG Yong,WU Muyu,MIAO Lixia,et al.Timing of intervention and therapeutic efficacy of adjuvant hyperbaric oxygen therapy againstCOVID-19[J].Chinese Journal of Medical Physics,2020,37(8):641.[doi:10.3969/j.issn.1005-202X.2020.05.021]
[3]刘思远,张丽军,刘雷.人工智能在抗击新型冠状病毒肺炎疫情中的应用[J].中国医学物理学杂志,2020,37(8):1076.[doi:DOI:10.3969/j.issn.1005-202X.2020.08.026]
LIU Siyuan,ZHANG Lijun,LIU Lei.Application of artificial intelligence in fighting against COVID-19 pandemic[J].Chinese Journal of Medical Physics,2020,37(8):1076.[doi:DOI:10.3969/j.issn.1005-202X.2020.08.026]
[4]常艳奎,彭昭,周解平,等.基于U-net的心脏自动勾画模型的临床应用及改进[J].中国医学物理学杂志,2020,37(10):1218.[doi:DOI:10.3969/j.issn.1005-202X.2020.10.002]
CHANG Yankui,PENG Zhao,ZHOU Jieping,et al.Clinical application and improvement of U-net-based model for automatic segmentation of the heart[J].Chinese Journal of Medical Physics,2020,37(8):1218.[doi:DOI:10.3969/j.issn.1005-202X.2020.10.002]
[5]董国亚,宋立明,李雅芬,等.基于深度学习的跨模态医学图像转换[J].中国医学物理学杂志,2020,37(10):1335.[doi:DOI:10.3969/j.issn.1005-202X.2020.10.021]
DONG Guoya,SONG Liming,et al.Cross-modality medical image synthesis based on deep learning[J].Chinese Journal of Medical Physics,2020,37(8):1335.[doi:DOI:10.3969/j.issn.1005-202X.2020.10.021]
[6]邓灵波,周雯,赵双全,等.人工智能辅助诊断系统在新型冠状病毒肺炎诊断中的初步应用[J].中国医学物理学杂志,2020,37(12):1604.[doi:DOI:10.3969/j.issn.1005-202X.2020.12.025]
DENG Lingbo,ZHOU Wen,ZHAO Shuangquan,et al.Preliminary application of AI diagnosis system in the diagnosis of the novel coronavirus infected pneumonia[J].Chinese Journal of Medical Physics,2020,37(8):1604.[doi:DOI:10.3969/j.issn.1005-202X.2020.12.025]
[7]董宇波,王蕊,赵慧娟,等.革兰氏染色细菌显微图像深度学习分类与计数[J].中国医学物理学杂志,2021,38(1):127.[doi:DOI:10.3969/j.issn.1005-202X.2021.01.020]
DONG Yubo,WANG Rui,ZHAO Huijuan,et al.Classification and counting of Gram-stained bacteria by deeply learning in micro-image[J].Chinese Journal of Medical Physics,2021,38(8):127.[doi:DOI:10.3969/j.issn.1005-202X.2021.01.020]
[8]王雁南,周俊林,刘建莉,等.多排螺旋CT低剂量扫描高分辨率重建在新型冠状病毒肺炎筛查中的应用[J].中国医学物理学杂志,2021,38(4):456.[doi:DOI:10.3969/j.issn.1005-202X.2021.04.012]
WANG Yannan,,et al.Application of low-dose multidetector CT scan and high-resolution reconstruction in COVID-19 pneumonia screening[J].Chinese Journal of Medical Physics,2021,38(8):456.[doi:DOI:10.3969/j.issn.1005-202X.2021.04.012]
[9]莫春梅,周金治,李雪,等.基于改进U-Net的肝脏分割方法[J].中国医学物理学杂志,2021,38(5):571.[doi:DOI:10.3969/j.issn.1005-202X.2021.05.009]
MO Chunmei,ZHOU Jinzhi,et al.Liver segmentation method based on improved U-Net[J].Chinese Journal of Medical Physics,2021,38(8):571.[doi:DOI:10.3969/j.issn.1005-202X.2021.05.009]
[10]李雪,周金治,莫春梅,等.基于特征融合的U-Net肺自动分割方法[J].中国医学物理学杂志,2021,38(6):704.[doi:DOI:10.3969/j.issn.1005-202X.2021.06.009]
LI Xue,ZHOU Jinzhi,et al.U-Net automatic lung segmentation based on feature fusion[J].Chinese Journal of Medical Physics,2021,38(8):704.[doi:DOI:10.3969/j.issn.1005-202X.2021.06.009]