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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
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 |