Deep learning–based endoscopic image recognition for detection of early gastric cancer: a Chinese perspective

We read with great interest the recent article in which Kanesaka et al1 reported a computer-aided system for identifying early gastric cancers (EGC). The diagnostic performance (accuracy of 96.3%) suggests the great potential of computer-aided diagnosis for EGC. This is especially true in countries such as China that have a high incidence of gastric cancer but a low EGC detection rate.2 Recent reports3 have estimated that about 679,100 new cases of gastric cancer were confirmed in China each year and that more than 80% of patients received their diagnoses at an advanced stage with poor prognosis.

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