Breast lesions classifications of mammographic images using a deep convolutional neural network-based approach

• Tariq Mahmood,

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

  Affiliations Faculty of Information Technology, Beijing University of Technology, Beijing, China, Division of Science and Technology, Department of Information Sciences, University of Education, Lahore, Pakistan

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• Jianqiang Li,

  Roles Funding acquisition, Supervision, Writing – review & editing

  Affiliations Faculty of Information Technology, Beijing University of Technology, Beijing, China, Beijing Engineering Research Center for IoT Software and Systems, Beijing, China

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• Yan Pei ,

  Roles Supervision, Validation, Visualization, Writing – review & editing

  * E-mail: peiyan@u-aizu.ac.jp

  Affiliation Computer Science Division, University of Aizu, Aizuwakamatsu, Fukushima, Japan

  https://orcid.org/0000-0003-1545-9204

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• Faheem Akhtar,

  Roles Formal analysis, Methodology, Writing – review & editing

  Affiliation Department of Computer Science, Sukkur IBA University, Sukkur, Pakistan

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• Mujeeb Ur Rehman,

  Roles Conceptualization, Data curation, Formal analysis

  Affiliation Radiology Department, Continental Medical College and Hayat Memorial Teaching Hospital, Lahore, Pakistan

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• Shahbaz Hassan Wasti

  Roles Writing – review & editing

  Affiliation Division of Science and Technology, Department of Information Sciences, University of Education, Lahore, Pakistan

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