Classification of breast cancer histopathological images using interleaved DenseNet with SENet (IDSNet)

• Xia Li,

  Roles Funding acquisition, Writing – original draft

  Affiliation College of Information Engineering, China Jiliang University, Hangzhou, China

  ⨯
• Xi Shen,

  Roles Formal analysis, Methodology

  Affiliation College of Information Engineering, China Jiliang University, Hangzhou, China

  ⨯
• Yongxia Zhou,

  Roles Software

  Affiliation College of Information Engineering, China Jiliang University, Hangzhou, China

  ⨯
• Xiuhui Wang,

  Roles Investigation, Supervision

  Affiliation College of Information Engineering, China Jiliang University, Hangzhou, China

  http://orcid.org/0000-0003-1773-9760

  ⨯
• Tie-Qiang Li

  Roles Investigation, Writing – review & editing

  * E-mail: tie-qiang.li@ki.se

  Affiliations College of Information Engineering, China Jiliang University, Hangzhou, China, Department of Clinical Science, Karolinska Institutet, Intervention and Technology, Stockholm, Sweden, Department of Medical Radiation and Nuclear Medicine, Karolinska University Hospital, Stockholm, Sweden

  http://orcid.org/0000-0002-4866-5904

  ⨯