Evaluation of Semiautomatic and Deep Learning–Based Fully Automatic Segmentation Methods on [18F]FDG PET/CT Images from Patients with Lymphoma: Influence on Tumor Characterization.

The objective is to assess the performance of seven semiautomatic and two fully automatic segmentation methods on [18F]FDG PET/CT lymphoma images and evaluate their influence on tumor quantification. All lymphoma lesions identified in 65 whole-body [18F]FDG PET/CT staging images were segmented by tw...

Descripción completa

Detalles Bibliográficos

Publicado en:	Journal of Digital Imaging Vol. 36; no. 4; pp. 1864 - 1877
Autores principales:	Constantino, Cláudia S., Leocádio, Sónia, Oliveira, Francisco P. M., Silva, Mariana, Oliveira, Carla, Castanheira, Joana C., Silva, Ângelo, Vaz, Sofia, Teixeira, Ricardo, Neves, Manuel, Lúcio, Paulo, João, Cristina, Costa, Durval C.
Formato:	diagnostic images research tables/charts Journal Article
Publicado:	Springer Nature Aug2023
Acceso en línea:	Ver este registro en EBSCOhost