5 citations · 11 across the 8 of their papers we have counts for
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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…
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…
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…