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...

Descripció completa

Guardat en:
Dades bibliogràfiques
Publicat a:Eur J Nucl Med Mol Imaging
Autors principals: Guo, Rui, Hu, Xiaobin, Song, Haoming, Xu, Pengpeng, Xu, Haoping, Rominger, Axel, Lin, Xiaozhu, Menze, Bjoern, Li, Biao, Shi, Kuangyu
Format: Artigo
Idioma:Inglês
Publicat: Springer Berlin Heidelberg 2021
Matèries:
Original Article
Accés en línia: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
Etiquetes: Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!

Ítems similars