For the early identification of gastric cancer, the scientists at Okayama University have developed an artificial intelligence (AI)-based endoscopic diagnosis system.
Surgical gastrectomy procedures and endoscopic surgery (ESD) can save the stomach by treating early-stage gastric cancer.
The endoscopy treatment is decided based on depth of cancer within the stomach wall and treatment plan is decided after analyzing the endoscopic images.
For detecting the cancer at the earliest, the team developed a prototype of the AI endoscope using GoogLeNet to match purpose via the image identification capability of Convolutional Neural Network (CNN) published by Google on the MATLAB numerical analysis software.
They used 152-layer CNN, called ResNet, for intramucosal endoscopic resection in patients who were treated for early gastric cancer at Okayama University Hospital. They used the endoscopic images of 100 cancers and 50 submucosal invasion cancers and 50 submucosal invasion cancers to develop and validate the AI system.
Clinical Research Newsletter
Mr Vinod Arora, Principal Advisor, IGMPI
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