5 citations · 6 across the 4 of their papers we have counts for
5 papers
StainPresetNet: Stain Preset Network for Fast Multi-to-Multi Stain Normalization
Hongtao Kang, Die Luo, Li Chen +4
Stain normalization reduces color variations caused by variations in staining protocols and imaging conditions, thereby enhancing computer-aided diagnostic system performance. Trad…
Building artificial intelligence virtual tissue (AIVT) for tissue state representation, feature prediction, and dynamic simulation
Qiqi Lu, Qianjin Feng, Shaoqun Zeng +1
Modeling tissue states and their transitions is essential for understanding tissue homeostasis in health and pathological remodeling in disease. However, conventional computational…
Reconstruct high-resolution multi-focal plane images from a single 2D wide field image
Jiabo Ma, Sibo Liu, Shenghua Cheng +3
High-resolution 3D medical images are important for analysis and diagnosis, but axial scanning to acquire them is very time-consuming. In this paper, we propose a fast end-to-end m…
FFusionCGAN: An end-to-end fusion method for few-focus images using conditional GAN in cytopathological digital slides
Xiebo Geng, Sibo Liua, Wei Han +7
Multi-focus image fusion technologies compress different focus depth images into an image in which most objects are in focus. However, although existing image fusion techniques, in…
Multi-stage domain adversarial style reconstruction for cytopathological image stain normalization
Xihao Chen, Jingya Yu, Li Chen +3
The different stain styles of cytopathological images have a negative effect on the generalization ability of automated image analysis algorithms. This article proposes a new frame…