Predicting (18)F-FDG SUVs of metastatic pulmonary nodes from CT images in patients with differentiated thyroid cancer by using a convolutional neural network

PURPOSE: The aim of this study was to predict standard uptake values (SUVs) from computed tomography (CT) images of patients with lung metastases from differentiated thyroid cancer (DTC-LM). METHODS: We proposed a novel SUVs prediction model using 18-layer Residual Network for generating SUVmax, SUV...

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Detalles Bibliográficos
Autores principales: Ju, Nianting, Nie, Liangbing, Wang, Yang, Hou, Liying, Li, Chengfan, Ding, Xuehai, Luo, Quanyong, Shen, Chentian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10194030/
https://www.ncbi.nlm.nih.gov/pubmed/37214240
http://dx.doi.org/10.3389/fendo.2023.1127741

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10194030/
https://www.ncbi.nlm.nih.gov/pubmed/37214240
http://dx.doi.org/10.3389/fendo.2023.1127741

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