Deep learning tomographic reconstruction through hierarchical decomposition of domain transforms

Deep learning (DL) has shown unprecedented performance for many image analysis and image enhancement tasks. Yet, solving large-scale inverse problems like tomographic reconstruction remains challenging for DL. These problems involve non-local and space-variant integral transforms between the input a...

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Detalles Bibliográficos
Autores principales: Fu, Lin, De Man, Bruno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9733764/
https://www.ncbi.nlm.nih.gov/pubmed/36484980
http://dx.doi.org/10.1186/s42492-022-00127-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9733764/
https://www.ncbi.nlm.nih.gov/pubmed/36484980
http://dx.doi.org/10.1186/s42492-022-00127-y

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