Reducing scan time in (177)Lu planar scintigraphy using convolutional neural network: A Monte Carlo simulation study

PURPOSE: The aim of this study was to reduce scan time in (177)Lu planar scintigraphy through the use of convolutional neural network (CNN) to facilitate personalized dosimetry for (177)Lu‐based peptide receptor radionuclide therapy. METHODS: The CNN model used in this work was based on DenseNet, an...

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Detalles Bibliográficos
Autores principales: Yang, Ching‐Ching, Ko, Kuan‐Yin, Lin, Pei‐Yao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Radiation Oncology Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562044/
https://www.ncbi.nlm.nih.gov/pubmed/37261890
http://dx.doi.org/10.1002/acm2.14056

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562044/
https://www.ncbi.nlm.nih.gov/pubmed/37261890
http://dx.doi.org/10.1002/acm2.14056

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