1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.IV2022
Preparing data for pathological artificial intelligence with clinical-grade performance
Yuanqing Yang, Kai Sun, Yanhua Gao +2
[Purpose] The pathology is decisive for disease diagnosis, but relies heavily on the experienced pathologists. Recently, pathological artificial intelligence (PAI) is thought to im…
cs.LG2021
A multi-stage semi-supervised improved deep embedded clustering method for bearing fault diagnosis under the situation of insufficient labeled samples
Tongda Sun, Gang Yu
Although data-driven fault diagnosis methods have been widely applied, massive labeled data are required for model training. However, a difficulty of implementing this in real indu…
eess.IV2021★ 1 cited
Multi-scale super-resolution generation of low-resolution scanned pathological images
Kai Sun, Yanhua Gao, Ting Xie +5
Background. Digital pathology has aroused widespread interest in modern pathology. The key of digitalization is to scan the whole slide image (WSI) at high magnification. The lager…