5 citations · 11 across the 8 of their papers we have counts for
8 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…
ParamNet: A Dynamic Parameter Network for Fast Multi-to-One Stain Normalization
Hongtao Kang, Die Luo, Li Chen +5
In practice, digital pathology images are often affected by various factors, resulting in very large differences in color and brightness. Stain normalization can effectively reduce…
Cervical Glandular Cell Detection from Whole Slide Image with Out-Of-Distribution Data
Ziquan Wei, Shenghua Cheng, Jing Cai +3
Cervical glandular cell (GC) detection is a key step in computer-aided diagnosis for cervical adenocarcinomas screening. It is challenging to accurately recognize GCs in cervical s…
An Efficient Cervical Whole Slide Image Analysis Framework Based on Multi-scale Semantic and Location Deep Features
Ziquan Wei, Shenghua Cheng, Junbo Hu +3
Digital gigapixel whole slide image (WSI) is widely used in clinical diagnosis, and automated WSI analysis is key for computer-aided diagnosis. Currently, analyzing the integrated…
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…