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Evaluation of Semiautomatic and Deep Learning–Based Fully Automatic Segmentation Methods on [(18)F]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 [(18)F]FDG PET/CT lymphoma images and evaluate their influence on tumor quantification. All lymphoma lesions identified in 65 whole-body [(18)F]FDG PET/CT staging images were segmented b...

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Detalles Bibliográficos
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:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer International Publishing 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10407010/ https://www.ncbi.nlm.nih.gov/pubmed/37059891 http://dx.doi.org/10.1007/s10278-023-00823-y

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