8 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
3 papers
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…
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…
Performance assessment of the deep learning technologies in grading glaucoma severity
Yi Zhen, Lei Wang, Han Liu +2
Objective: To validate and compare the performance of eight available deep learning architectures in grading the severity of glaucoma based on color fundus images. Materials and Me…