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

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 medical imag...

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Detalles Bibliográficos
Autores principales: Zhou, Zhiyong, Hong, Ben, Qian, Xusheng, Hu, Jisu, Shen, Minglei, Ji, Jiansong, Dai, Yakang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10510294/
https://www.ncbi.nlm.nih.gov/pubmed/37726780
http://dx.doi.org/10.1186/s12938-023-01143-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10510294/
https://www.ncbi.nlm.nih.gov/pubmed/37726780
http://dx.doi.org/10.1186/s12938-023-01143-6

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