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

Abstract Background Convolutional neural networks (CNNs), applied to baseline [18F]-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...

Popoln opis

Bibliografske podrobnosti

Principais autores:	Maria C. Ferrández, Sandeep S. V. Golla, Jakoba J. Eertink, Bart M. de Vries, Sanne E. Wiegers, Gerben J. C. Zwezerijnen, Simone Pieplenbosch, Louise Schilder, Martijn W. Heymans, Josée M. Zijlstra, Ronald Boellaard
Format:	Artigo
Jezik:	Inglês
Izdano:	SpringerOpen 2023-09-01
Serija:	EJNMMI Research
Teme:	Diffuse large B-cell lymphoma PET Convolutional neural networks Reconstruction
Online dostop:	https://doi.org/10.1186/s13550-023-01036-8
Oznake:	Označite Brez oznak, prvi označite!