Deep learning model for diagnosing early gastric cancer using preoperative computed tomography images

HIGHLIGHTS

• who: Qingwen Zeng et al. from the Sichuan University, China have published the research work: Deep learning model for diagnosing early gastric cancer using preoperative computed tomography images, in the Journal: (JOURNAL)
• what: With the use of portal venous phase CT images, the goal of this work is to build a deep learning model for accurately distinguishing EGC. According to the purpose of the study , all GC patients were divided into two categories, including EGC and advanced GC, to develop a prediction model for identifying EGC. The research showed that the ResNet101 model represented the . . .
  

   

  

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