Convolutional Neural Networks Promising in Lung Cancer T-Parameter Assessment on Baseline FDG-PET/CT

AIM: To develop an algorithm, based on convolutional neural network (CNN), for the classification of lung cancer lesions as T1-T2 or T3-T4 on staging fluorodeoxyglucose positron emission tomography (FDG-PET)/CT images. METHODS: We retrospectively selected a cohort of 472 patients (divided in the tra...

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Detalles Bibliográficos
Autores principales: Kirienko, Margarita, Sollini, Martina, Silvestri, Giorgia, Mognetti, Serena, Voulaz, Emanuele, Antunovic, Lidija, Rossi, Alexia, Antiga, Luca, Chiti, Arturo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6232785/
https://www.ncbi.nlm.nih.gov/pubmed/30510492
http://dx.doi.org/10.1155/2018/1382309

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6232785/
https://www.ncbi.nlm.nih.gov/pubmed/30510492
http://dx.doi.org/10.1155/2018/1382309

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