Machine learning for differentiating lung squamous cell cancer from adenocarcinoma using Clinical-Metabolic characteristics and 18F-FDG PET/CT radiomics

• Yalin Zhang,

  Roles Conceptualization, Formal analysis, Methodology, Writing – original draft

  Affiliations Department of Radiation Oncology, The Third Affillated Teaching Hospital of Xinjiang Medical University, Affilated Cancer Hospital, Urumuqi, China, Xinjiang Key Laboratory of Oncology, Urumqi, China

  https://orcid.org/0009-0000-4551-8397

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• Huiling Liu,

  Roles Formal analysis, Methodology, Software, Validation

  Affiliation Department of Radiation Oncology, Binzhou People’s Hospital, Binzhou, China

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• Cheng Chang,

  Roles Data curation, Funding acquisition

  Affiliation Department of Nuclear Medicine, The Third Affillated Teaching Hospital of Xinjiang Medical University, Affilated Cancer Hospital, Urumuqi, China

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• Yong Yin ,

  Roles Conceptualization, Project administration, Writing – review & editing

  * E-mail: wrz8526@vip.163.com (RW); yinyongsd@126.com (YY)

  Affiliation Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China

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• Ruozheng Wang

  Roles Conceptualization, Funding acquisition, Project administration, Supervision, Writing – review & editing

  * E-mail: wrz8526@vip.163.com (RW); yinyongsd@126.com (YY)

  Affiliations Department of Radiation Oncology, The Third Affillated Teaching Hospital of Xinjiang Medical University, Affilated Cancer Hospital, Urumuqi, China, Xinjiang Key Laboratory of Oncology, Urumqi, China

  https://orcid.org/0000-0002-0524-1212

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