Deep learning for automatic diagnosis of gastric dysplasia using whole-slide histopathology images in endoscopic specimens.

Zhongyue ShiChuang ZhuYu ZhangYakun WangWeihua HouXue LiJun LuXinmeng GuoFeng XuXingran JiangYing WangJun LiuMulan Jin

Published in: Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association (2022)

We demonstrated that our DLDA model could distinguish gastric epithelial regeneration change from dysplasia and further subclassify dysplasia in endoscopic specimens. Meanwhile, achieved significant improvement of diagnosis cross-hospital.

Keyphrases

deep learning
ultrasound guided
fine needle aspiration
convolutional neural network
artificial intelligence
stem cells
machine learning
healthcare
adverse drug
acute care