Self-supervised learning for modal transfer of brain imaging

Today's brain imaging modality migration techniques are transformed from one modality data in one domain to another. In the specific clinical diagnosis, multiple modal data can be obtained in the same scanning field, and it is more beneficial to synthesize missing modal data by using the divers...

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Detalles Bibliográficos
Autores principales: Cheng, Dapeng, Chen, Chao, Yanyan, Mao, You, Panlu, Huang, Xingdan, Gai, Jiale, Zhao, Feng, Mao, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477095/
https://www.ncbi.nlm.nih.gov/pubmed/36117623
http://dx.doi.org/10.3389/fnins.2022.920981

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477095/
https://www.ncbi.nlm.nih.gov/pubmed/36117623
http://dx.doi.org/10.3389/fnins.2022.920981

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