macJNet: weakly-supervised multimodal image deformable registration using joint learning framework and multi-sampling cascaded MIND

macJNet: weakly-supervised multimodal image deformable registration using joint learning framework and multi-sampling cascaded MIND

Abstract Deformable multimodal image registration plays a key role in medical image analysis. It remains a challenge to find accurate dense correspondences between multimodal images due to the significant intensity distortion and the large deformation. macJNet is proposed to align the multimodal med...

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Bibliographic Details
Main Authors: Zhiyong Zhou, Ben Hong, Xusheng Qian, Jisu Hu, Minglei Shen, Jiansong Ji, Yakang Dai
Format: Article
Language:English
Published: BMC 2023-09-01
Series:BioMedical Engineering OnLine
Subjects:
Deformable registration
Multimodal
Image descriptor
Joint learning
Semi-supervised segmentation
Online Access:https://doi.org/10.1186/s12938-023-01143-6

Internet

https://doi.org/10.1186/s12938-023-01143-6

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