1165PDeep learning in nasopharyngeal carcinoma: A retrospective cohort study of 3D convolutional neural networks on magnetic resonance imaging

ConclusionsMRI-based 3D DenseNet models are effective tools to learn deep representations and extract risk scores of DFS. Risk scores can be reliable prognostic factors to select which patients benefit from concurrent chemotherapy.Legal entity responsible for the studyThe authors.FundingThe National Natural Science Foundation of China.DisclosureAll authors have declared no conflicts of interest.
Source: Annals of Oncology - Category: Cancer & Oncology Source Type: research