Establishment of an automatic diagnosis system for corneal endothelium diseases using artificial intelligence

Abstract Purpose To use artificial intelligence to establish an automatic diagnosis system for corneal endothelium diseases (CEDs). Methods We develop an automatic system for detecting multiple common CEDs involving an enhanced compact convolutional transformer (ECCT). Specifically, we introduce a c...

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Auteurs principaux:	Jing-hao Qu, Xiao-ran Qin, Zi-jun Xie, Jia-he Qian, Yang Zhang, Xiao-nan Sun, Yu-zhao Sun, Rong-mei Peng, Ge-ge Xiao, Jing Lin, Xiao-yan Bian, Tie-hong Chen, Yan Cheng, Shao-feng Gu, Hai-kun Wang, Jing Hong
Format:	Artigo
Langue:	Inglês
Publié:	SpringerOpen 2024-05-01
Collection:	Journal of Big Data
Sujets:	Corneal endothelium disease In vivo confocal microscopy Enhanced compact convolutional transformer
Accès en ligne:	https://doi.org/10.1186/s40537-024-00913-w
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