Weakly supervised deep learning for determining the prognostic value of (18)F-FDG PET/CT in extranodal natural killer/T cell lymphoma, nasal type

PURPOSE: To develop a weakly supervised deep learning (WSDL) method that could utilize incomplete/missing survival data to predict the prognosis of extranodal natural killer/T cell lymphoma, nasal type (ENKTL) based on pretreatment (18)F-FDG PET/CT results. METHODS: One hundred and sixty-seven patie...

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Détails bibliographiques
Publié dans:Eur J Nucl Med Mol Imaging
Auteurs principaux: Guo, Rui, Hu, Xiaobin, Song, Haoming, Xu, Pengpeng, Xu, Haoping, Rominger, Axel, Lin, Xiaozhu, Menze, Bjoern, Li, Biao, Shi, Kuangyu
Format: Artigo
Langue:Inglês
Publié: Springer Berlin Heidelberg 2021
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Original Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7896833/
https://ncbi.nlm.nih.gov/pubmed/33611614
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00259-021-05232-3
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