Deep learning-based image reconstruction and post-processing methods in positron emission tomography for low-dose imaging and resolution enhancement

Image processing plays a crucial role in maximising diagnostic quality of positron emission tomography (PET) images. Recently, deep learning methods developed across many fields have shown tremendous potential when applied to medical image enhancement, resulting in a rich and rapidly advancing liter...

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Detalles Bibliográficos
Autores principales: Pain, Cameron Dennis, Egan, Gary F., Chen, Zhaolin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9250483/
https://www.ncbi.nlm.nih.gov/pubmed/35312031
http://dx.doi.org/10.1007/s00259-022-05746-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9250483/
https://www.ncbi.nlm.nih.gov/pubmed/35312031
http://dx.doi.org/10.1007/s00259-022-05746-4

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