Application of artificial intelligence using a convolutional neural network for diagnosis of early gastric cancer based on magnifying endoscopy with narrow-band imaging.

Journal of Gastroenterology and Hepatology
Hiroya UeyamaTomohiro Tada

Abstract

Magnifying endoscopy with narrow-band imaging (ME-NBI) has made a huge contribution to clinical practice. However, acquiring skill at ME-NBI diagnosis of early gastric cancer (EGC) requires considerable expertise and experience. Recently, artificial intelligence (AI), using deep learning and a convolutional neural network (CNN), has made remarkable progress in various medical fields. Here, we constructed an AI-assisted CNN computer-aided diagnosis (CAD) system, based on ME-NBI images, to diagnose EGC and evaluated the diagnostic accuracy of the AI-assisted CNN-CAD system. The AI-assisted CNN-CAD system (ResNet50) was trained and validated on a dataset of 5574 ME-NBI images (3797 EGCs, 1777 non-cancerous mucosa and lesions). To evaluate the diagnostic accuracy, a separate test dataset of 2300 ME-NBI images (1430 EGCs, 870 non-cancerous mucosa and lesions) was assessed using the AI-assisted CNN-CAD system. The AI-assisted CNN-CAD system required 60 s to analyze 2300 test images. The overall accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the CNN were 98.7%, 98%, 100%, 100%, and 96.8%, respectively. All misdiagnosed images of EGCs were of low-quality or of superficially depressed and...Continue Reading

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Citations

Sep 17, 2020·Digestive Endoscopy : Official Journal of the Japan Gastroenterological Endoscopy Society·Kazuki SumiyamaNaoto Tamai
Nov 8, 2020·Digestive Endoscopy : Official Journal of the Japan Gastroenterological Endoscopy Society·Toshiaki HirasawaJunko Fujisaki
Jun 23, 2021·Digestive Diseases and Sciences·Yutaka OkagawaYutaka Saito
Jun 26, 2021·World Journal of Gastroenterology : WJG·Yu-Jer HsiaoYing-Chun Jheng
Jul 3, 2021·Molecules : a Journal of Synthetic Chemistry and Natural Product Chemistry·Jing LiuWenxuan Quan
Oct 16, 2021·Digestive Endoscopy : Official Journal of the Japan Gastroenterological Endoscopy Society·Hiromu Kutsumi

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