• Infrared and Laser Engineering
  • Vol. 51, Issue 2, 20210891 (2022)
Yinxu Bian1、*, Tao Xing1, Weijie Deng2, Qin Xian3, Honglei Qiao3, Qian Yu4, Jilong Peng4, Xiaofei Yang5, Yannan Jiang6, Jiaxiong Wang7, Shenmin Yang7, Renbin Shen6, Hua Shen1, and Cuifang Kuang8
Author Affiliations
  • 1School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
  • 2Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
  • 3Chongqing Jialing Huaguang Optoelectronic Technology Co. LTD, Chongqing 400700, China
  • 4Beijing Environmental Satellite Engineering Institute, Beijing 100094, China
  • 5School of Optoelectronic Science and Engineering, Soochow University, Suzhou 215006, China
  • 6Department of General Surgery, the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou 215002, China
  • 7Center of Reproduction and Genetics, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou 215002, China
  • 8College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
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    DOI: 10.3788/IRLA20210891 Cite this Article
    Yinxu Bian, Tao Xing, Weijie Deng, Qin Xian, Honglei Qiao, Qian Yu, Jilong Peng, Xiaofei Yang, Yannan Jiang, Jiaxiong Wang, Shenmin Yang, Renbin Shen, Hua Shen, Cuifang Kuang. Deep learning-based color transfer biomedical imaging technology[J]. Infrared and Laser Engineering, 2022, 51(2): 20210891 Copy Citation Text show less
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    Yinxu Bian, Tao Xing, Weijie Deng, Qin Xian, Honglei Qiao, Qian Yu, Jilong Peng, Xiaofei Yang, Yannan Jiang, Jiaxiong Wang, Shenmin Yang, Renbin Shen, Hua Shen, Cuifang Kuang. Deep learning-based color transfer biomedical imaging technology[J]. Infrared and Laser Engineering, 2022, 51(2): 20210891
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