Deep learning-based skin lesion analysis using hybrid ResUNet++ and modified AlexNet-Random Forest for enhanced segmentation and classification

• Saleem Mustafa ,

  Contributed equally to this work with: Saleem Mustafa, Arfan Jaffar, Muhammad Rashid, Sheeraz Akram, Sohail Masood Bhatti

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

  Affiliations Faculty of Computer Science & Information Technology, The Superior University, Lahore, Pakistan, Intelligent Data Visual Computing Research (IDVCR), Lahore, Pakistan

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• Arfan Jaffar ,

  Contributed equally to this work with: Saleem Mustafa, Arfan Jaffar, Muhammad Rashid, Sheeraz Akram, Sohail Masood Bhatti

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

  Affiliations Faculty of Computer Science & Information Technology, The Superior University, Lahore, Pakistan, Intelligent Data Visual Computing Research (IDVCR), Lahore, Pakistan

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• Muhammad Rashid ,

  Contributed equally to this work with: Saleem Mustafa, Arfan Jaffar, Muhammad Rashid, Sheeraz Akram, Sohail Masood Bhatti

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

  Affiliation Department of Computer Science, National University of Technology, Islamabad, Pakistan

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• Sheeraz Akram ,

  Contributed equally to this work with: Saleem Mustafa, Arfan Jaffar, Muhammad Rashid, Sheeraz Akram, Sohail Masood Bhatti

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

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

  Affiliations Faculty of Computer Science & Information Technology, The Superior University, Lahore, Pakistan, Intelligent Data Visual Computing Research (IDVCR), Lahore, Pakistan, 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

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• Sohail Masood Bhatti

  Contributed equally to this work with: Saleem Mustafa, Arfan Jaffar, Muhammad Rashid, Sheeraz Akram, Sohail Masood Bhatti

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

  Affiliations Faculty of Computer Science & Information Technology, The Superior University, Lahore, Pakistan, Intelligent Data Visual Computing Research (IDVCR), Lahore, Pakistan

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