Open AccessA review on medical imaging synthesis using deep learning and its clinical applications
Author(s) -
Wang Tonghe,
Lei Yang,
Fu Yabo,
Wynne Jacob F.,
Curran Walter J.,
Liu Tian,
Yang Xiaofeng
Publication year - 2021
Publication title -
journal of applied clinical medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.83
H-Index - 48
ISSN - 1526-9914
DOI - 10.1002/acm2.13121
Subject(s) - deep learning , computer science , modality (human–computer interaction) , artificial intelligence , listing (finance) , medical physics , data science , machine learning , medicine , finance , economics
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.