An artificial intelligence method using FDG PET to predict treatment outcome in diffuse large B cell lymphoma patients

Convolutional neural networks (CNNs) may improve response prediction in diffuse large B-cell lymphoma (DLBCL). The aim of this study was to investigate the feasibility of a CNN using maximum intensity projection (MIP) images from (18)F-fluorodeoxyglucose ((18)F-FDG) positron emission tomography (PET...

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Detalles Bibliográficos
Autores principales: Ferrández, Maria C., Golla, Sandeep S. V., Eertink, Jakoba J., de Vries, Bart M., Lugtenburg, Pieternella J., Wiegers, Sanne E., Zwezerijnen, Gerben J. C., Pieplenbosch, Simone, Kurch, Lars, Hüttmann, Andreas, Hanoun, Christine, Dührsen, Ulrich, de Vet, Henrica C. W., Zijlstra, Josée M., Boellaard, Ronald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10423266/
https://www.ncbi.nlm.nih.gov/pubmed/37573446
http://dx.doi.org/10.1038/s41598-023-40218-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10423266/
https://www.ncbi.nlm.nih.gov/pubmed/37573446
http://dx.doi.org/10.1038/s41598-023-40218-1

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