Comparative study of the quantitative accuracy of oncological PET imaging based on deep learning methods

BACKGROUND: [(18)F] Fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) is an important tool for tumor assessment. Shortening scanning time and reducing the amount of radioactive tracer remain the most difficult challenges. Deep learning methods have provided powerful...

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Detalles Bibliográficos
Autores principales: Hu, Yiyi, Lv, Doudou, Jian, Shaojie, Lang, Limin, Cui, Caozhe, Liang, Meng, Song, Liwei, Li, Sijin, Wu, Zhifang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10240003/
https://www.ncbi.nlm.nih.gov/pubmed/37284102
http://dx.doi.org/10.21037/qims-22-1181

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10240003/
https://www.ncbi.nlm.nih.gov/pubmed/37284102
http://dx.doi.org/10.21037/qims-22-1181

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