A review on medical imaging synthesis using deep learning and its clinical applications

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  • Tonghe Wang
    Department of Radiation Oncology Emory University Atlanta GA USA
  • Yang Lei
    Department of Radiation Oncology Emory University Atlanta GA USA
  • Yabo Fu
    Department of Radiation Oncology Emory University Atlanta GA USA
  • Jacob F. Wynne
    Department of Radiation Oncology Emory University Atlanta GA USA
  • Walter J. Curran
    Department of Radiation Oncology Emory University Atlanta GA USA
  • Tian Liu
    Department of Radiation Oncology Emory University Atlanta GA USA
  • Xiaofeng Yang
    Department of Radiation Oncology Emory University Atlanta GA USA

Abstract

<jats:title>Abstract</jats:title><jats:p>This paper reviewed the deep learning‐based studies for medical imaging synthesis and its clinical application. Specifically, we summarized the recent developments of deep learning‐based methods in inter‐ and intra‐modality image synthesis by listing and highlighting the proposed methods, study designs, and reported performances with related clinical applications on representative studies. The challenges among the reviewed studies were then summarized with discussion.</jats:p>

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