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A deep-learning based system using multi-modal data for diagnosing gastric neoplasms in real-time (with video).

Hongliu DuZehua DongLianlian WuYanxia LiJun LiuChaijie LuoXiaoquan ZengYunchao DengDu ChengWenxiu DiaoYijie ZhuXiao TaoJunxiao WangChenxia ZhangHong Gang Yu
Published in: Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association (2022)
The multi-modal model constructed by feature-level fusion showed the best performance. ENDOANGEL-MM identified gastric neoplasms with good accuracy and has a potential role in real-clinic.
Keyphrases
  • deep learning
  • machine learning
  • primary care
  • wastewater treatment
  • electronic health record
  • big data