Corpus ID: 237532550

DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT

@article{Meng2021DeepMTSDM,
  title={DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT},
  author={Mingyuan Meng and Bingxin Gu and Lei Bi and Shaoli Song and David Dagan Feng and Jinman Kim},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.07711}
}
Nasopharyngeal Carcinoma (NPC) is a worldwide malignant epithelial cancer. Survival prediction is a major concern for NPC patients, as it provides early prognostic information that is needed to guide treatments. Recently, deep learning, which leverages Deep Neural Networks (DNNs) to learn deep representations of image patterns, has been introduced to the survival prediction in various cancers including NPC. Deep survival models using DNNs can directly predict the survival outcomes of patients… Expand

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