A review on medical imaging synthesis using deep learning and its clinical applications
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.
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.
Medical imaging synthesis using deep learning and its clinical applications: A review
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
summarized in the discussion part.
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
summarized in the discussion part.
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