Deep learning model for automatic image quality assessment in PET

BACKGROUND: A variety of external factors might seriously degrade PET image quality and lead to inconsistent results. The aim of this study is to explore a potential PET image quality assessment (QA) method with deep learning (DL). METHODS: A total of 89 PET images were acquired from Peking Union Me...

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Detalles Bibliográficos
Autores principales: Zhang, Haiqiong, Liu, Yu, Wang, Yanmei, Ma, Yanru, Niu, Na, Jing, Hongli, Huo, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10243071/
https://www.ncbi.nlm.nih.gov/pubmed/37277706
http://dx.doi.org/10.1186/s12880-023-01017-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10243071/
https://www.ncbi.nlm.nih.gov/pubmed/37277706
http://dx.doi.org/10.1186/s12880-023-01017-2

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