Sensitivity of an AI method for [(18)F]FDG PET/CT outcome prediction of diffuse large B-cell lymphoma patients to image reconstruction protocols

BACKGROUND: Convolutional neural networks (CNNs), applied to baseline [(18)F]-FDG PET/CT maximum intensity projections (MIPs), show potential for treatment outcome prediction in diffuse large B-cell lymphoma (DLBCL). The aim of this study is to investigate the robustness of CNN predictions to differ...

全面介紹

書目詳細資料
Autores principales: Ferrández, Maria C., Golla, Sandeep S. V., Eertink, Jakoba J., de Vries, Bart M., Wiegers, Sanne E., Zwezerijnen, Gerben J. C., Pieplenbosch, Simone, Schilder, Louise, Heymans, Martijn W., Zijlstra, Josée M., Boellaard, Ronald
格式: Online Artículo Texto
語言:English
出版: Springer Berlin Heidelberg 2023
主題:
Original Research
在線閱讀:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533444/
https://www.ncbi.nlm.nih.gov/pubmed/37758869
http://dx.doi.org/10.1186/s13550-023-01036-8

因特網

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533444/
https://www.ncbi.nlm.nih.gov/pubmed/37758869
http://dx.doi.org/10.1186/s13550-023-01036-8

相似書籍