Advanced deep learning-based brain tumor classification using a novel customized CNN and optimized residual network

• Mehwish Rasheed ,

  Contributed equally to this work with: Mehwish Rasheed, Sajid Iqbal, Arfan Jaffar, Sheeraz Akram

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Faculty of Computer Science and Information Technology, The Superior University, Lahore, Pakistan

  ⨯
• Sajid Iqbal ,

  Contributed equally to this work with: Mehwish Rasheed, Sajid Iqbal, Arfan Jaffar, Sheeraz Akram

  Roles Conceptualization, Formal analysis, Investigation, Visualization, Writing – review & editing

  Affiliation Department of Computer Science and IT, The University of Lahore, Lahore, Pakistan

  ⨯
• Arfan Jaffar ,

  Contributed equally to this work with: Mehwish Rasheed, Sajid Iqbal, Arfan Jaffar, Sheeraz Akram

  Roles Conceptualization, Data curation, Formal analysis, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Faculty of Computer Science and Information Technology, The Superior University, Lahore, Pakistan

  ⨯
• Sheeraz Akram

  Contributed equally to this work with: Mehwish Rasheed, Sajid Iqbal, Arfan Jaffar, Sheeraz Akram

  Roles Conceptualization, Data curation, Funding acquisition, Methodology, Supervision, Validation, Writing – original draft, Writing – review & editing

  * E-mail: sAkram@imamu.edu.sa

  Affiliation Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia

  https://orcid.org/0000-0003-2321-3845

  ⨯