A deep learning framework for predicting endometrial cancer from cytopathologic images with different staining styles

• Ruijie Wang,

  Roles Methodology, Writing – original draft, Writing – review & editing

  Affiliation School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, P.R. China

  https://orcid.org/0000-0001-7900-3308

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• Qing Li,

  Roles Data curation

  Affiliation Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, P.R. China

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• Guizhi Shi,

  Roles Investigation, Validation, Visualization

  Affiliation Laboratory Animal Center, Institute of Biophysics, Chinese Academy of Sciences, and the University of Chinese Academy of Sciences, Beijing, China

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• Qiling Li,

  Roles Conceptualization, Data curation, Validation, Visualization

  Affiliation Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, P.R. China

  ⨯
• Dexing Zhong

  Roles Funding acquisition

  * E-mail: bell@xjtu.edu.cn

  Affiliations School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, P.R. China, Pazhou Laboratory, Guangzhou, P.R. China, Research Institute of Xi’an Jiaotong University, Zhejiang, Hangzhou, P.R. China

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