A review of deep learning-based three-dimensional medical image registration methods.

ABSTRACT: Medical image registration is a vital component of many medical procedures, such as image-guided radiotherapy (IGRT), as it allows for more accurate dose-delivery and better management of side effects. Recently, the successful implementation of deep learning (DL) in various fields has prompted many research groups to apply DL to three-dimensional (3D) medical image registration. Several of these efforts have led to promising results. This review summarized the progress made in DL-based 3D image registration over the past 5 years and identify existing challenges and potential avenues for further research. The collected studies were statistically analyzed based on the region of interest (ROI), image modality, supervision method, and registration evaluation metrics. The studies were classifie

SUBMITTER: Xiao H 

PROVIDER: S-EPMC8611468 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature