activity
20192026
most citedStainNet: a fast and robust stain normalization network

116 citations · 125 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

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…

eess.IV2023

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…

cs.CV2021★ 3 cited

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…

eess.IV2020★ 116 cited

StainNet: a fast and robust stain normalization network

Hongtao Kang, Die Luo, Weihua Feng +4

Stain normalization often refers to transferring the color distribution of the source image to that of the target image and has been widely used in biomedical image analysis. The c…

cs.CV2020★ 5 cited

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…

eess.IV2019★ 1 cited

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…