期刊
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS
卷 22, 期 1, 页码 11-36出版社
WILEY
DOI: 10.1002/acm2.13121
关键词
CT; deep learning; image synthesis; MRI; PET; radiation therapy
资金
- Emory Winship Cancer Institute
- National Cancer Institute
- National Institutes of Health [R01CA215718]
This paper reviewed the recent developments of deep learning-based methods for medical imaging synthesis and its clinical applications, highlighting the challenges among the reviewed studies and providing discussions on them.
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.
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