Automatic T Staging Using Weakly Supervised Deep Learning for Nasopharyngeal Carcinoma on MR Images.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date: Jun 24, 2020

Abstract

BACKGROUND: Recent studies have shown that deep learning can help tumor staging automatically. However, automatic nasopharyngeal carcinoma (NPC) staging is difficult due to the lack of large and slice-level annotated datasets.

Authors

  • Qing Yang
    School of Nursing, Chengdu Medical College, Chengdu, China.
  • Ying Guo
    National Institutes for Food and Drug Control, Beijing, 100050, China.
  • Xiaomin Ou
    Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Jiazhou Wang
    Department of radiation oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Chaosu Hu
    Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.

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