A Serial MRI–based Deep Learning Model to Predict Survival in Patients with Locoregionally Advanced Nasopharyngeal Carcinoma
嘉毅 谷口, Junyi Peng, Wenbing Lv, Chen‐Fei Wu, Zi-Hang Chen, Guan‐Qun Zhou, Yaqin Wang, Li Lin, Lijun Lu, Ying Sun
Abstract
A prognostic model incorporating pre- and posttreatment serial MRI acquisitions and clinical factors using deep learning methods showed good performance in survival prediction and risk stratification of patients with locoregionally advanced nasopharyngeal carcinoma.
Topics & Concepts
Nasopharyngeal carcinomaDeep learningOncologyMedicineArtificial intelligenceInternal medicineComputer scienceRadiation therapyRadiomics and Machine Learning in Medical ImagingHead and Neck Cancer StudiesBrain Tumor Detection and Classification