A deep convolutional neural network for classification of red blood cells in sickle cell anemia

• Mengjia Xu,

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

  Affiliations Key Laboratory of Medical Image Computing of Ministry of Education, Northeastern University, Shenyang, China, Division of Applied Mathematics, Brown University, Providence, Rhode Island, United States of America

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• Dimitrios P. Papageorgiou,

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Writing – original draft, Writing – review & editing

  Affiliation Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America

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• Sabia Z. Abidi,

  Roles Formal analysis, Investigation

  Affiliation Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America

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• Ming Dao,

  Roles Conceptualization, Funding acquisition, Resources, Supervision

  Affiliation Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America

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• Hong Zhao,

  Roles Conceptualization, Resources, Supervision

  Affiliation Key Laboratory of Medical Image Computing of Ministry of Education, Northeastern University, Shenyang, China

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• George Em Karniadakis

  Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Resources, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: george_karniadakis@brown.edu

  Affiliation Division of Applied Mathematics, Brown University, Providence, Rhode Island, United States of America

  http://orcid.org/0000-0002-9713-7120

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