Optimized generation of high-resolution phantom images using cGAN: Application to quantification of Ki67 breast cancer images

• Caglar Senaras ,

  Roles Conceptualization, Formal analysis, Methodology, Software, Visualization, Writing – original draft

  * E-mail: csenaras@wakehealth.edu

  Affiliation Center for Biomedical Informatics, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America

  http://orcid.org/0000-0003-4211-4367

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• Muhammad Khalid Khan Niazi,

  Roles Methodology, Writing – original draft

  Affiliation Center for Biomedical Informatics, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America

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• Berkman Sahiner,

  Roles Conceptualization, Writing – original draft

  Affiliation Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, Maryland, United States of America

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• Michael P. Pennell,

  Roles Formal analysis, Validation, Writing – original draft, Writing – review & editing

  Affiliation Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, Ohio, United States of America

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• Gary Tozbikian,

  Roles Validation, Writing – review & editing

  Affiliation Department of Pathology, The Ohio State University, Columbus, Ohio, United States of America

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• Gerard Lozanski ,

  Roles Conceptualization, Funding acquisition, Investigation, Writing – original draft, Writing – review & editing

  ¶‡ GL and MNG are joint senior authors on this work.

  Affiliation Department of Pathology, The Ohio State University, Columbus, Ohio, United States of America

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• Metin N. Gurcan

  Roles Conceptualization, Investigation, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing

  ¶‡ GL and MNG are joint senior authors on this work.

  Affiliation Center for Biomedical Informatics, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America

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