Deep Learning Approach to Automatize TMTV Calculations Regardless of Segmentation Methodology for Major FDG-Avid Lymphomas

The total metabolic tumor volume (TMTV) is a new prognostic factor in lymphomas that could benefit from automation with deep learning convolutional neural networks (CNN). Manual TMTV segmentations of 1218 baseline 18FDG-PET/CT have been used for training. A 3D V-NET model has been trained to generat...

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Detalles Bibliográficos
Autores principales: Revailler, Wendy, Cottereau, Anne Ségolène, Rossi, Cedric, Noyelle, Rudy, Trouillard, Thomas, Morschhauser, Franck, Casasnovas, Olivier, Thieblemont, Catherine, Le Gouill, Steven, André, Marc, Ghesquieres, Herve, Ricci, Romain, Meignan, Michel, Kanoun, Salim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870809/
https://www.ncbi.nlm.nih.gov/pubmed/35204515
http://dx.doi.org/10.3390/diagnostics12020417

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870809/
https://www.ncbi.nlm.nih.gov/pubmed/35204515
http://dx.doi.org/10.3390/diagnostics12020417

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