Journal of Innovative Optical Health Sciences, Volume. 16, Issue 5, 2241002(2023)

Identification of serous ovarian tumors based on polarization imaging and correlation analysis with clinicopathological features

Yulu Huang1,2、§§, Anli Hou3,4、§§, Jing Wang3, Yue Yao3, Wenbin Miao4, Xuewu Tian7, Jiawen Yu7, Cheng Li8, Hui Ma3,5,6, and Yujuan Fan1,4、*
Author Affiliations
  • 1Jinan University, Guangzhou, Guangdong 510632, P. R. China
  • 2Department of Gynaecology, Wuzhou Red Cross Hospital, Wuzhou, Guangxi 543002, P. R. China
  • 3Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Guangdong Engineering Center of Polarization Imaging and Sensing Technology, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong 518055, P. R. China
  • 4Department of Gynaecology, University of Chinese Academy of Sciences, Shenzhen Hospital, Shenzhen, Guangdong 518106, P. R. China
  • 5Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, Guangdong 518071, P. R. China
  • 6Department of Physics, Tsinghua University, Beijing 100084, P. R. China
  • 7Department of Pathology, University of Chinese Academy of Sciences Shenzhen Hospital, Shenzhen, Guangdong 518106, P. R. China
  • 8Department of Pathology, Wuzhou Red Cross Hospital, Wuzhou, Guangxi 543002, P. R. China
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    Yulu Huang, Anli Hou, Jing Wang, Yue Yao, Wenbin Miao, Xuewu Tian, Jiawen Yu, Cheng Li, Hui Ma, Yujuan Fan. Identification of serous ovarian tumors based on polarization imaging and correlation analysis with clinicopathological features[J]. Journal of Innovative Optical Health Sciences, 2023, 16(5): 2241002

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    Paper Information

    Category: Research Articles

    Received: Apr. 7, 2022

    Accepted: Aug. 10, 2022

    Published Online: Sep. 26, 2023

    The Author Email: Fan Yujuan (yjfan530@163.com)

    DOI:10.1142/S1793545822410024

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