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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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| Опубликовано в: : | Eur J Nucl Med Mol Imaging |
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| Главные авторы: | , , , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Springer Berlin Heidelberg
2021
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| Предметы: | |
| Online-ссылка: | 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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