4 citations · 4 across the 4 of their papers we have counts for
4 papers
A Laplacian Pyramid Based Generative H&E Stain Augmentation Network
Fangda Li, Zhiqiang Hu, Wen Chen +1
Hematoxylin and Eosin (H&E) staining is a widely used sample preparation procedure for enhancing the saturation of tissue sections and the contrast between nuclei and cytoplasm in…
Adaptive Supervised PatchNCE Loss for Learning H&E-to-IHC Stain Translation with Inconsistent Groundtruth Image Pairs
Fangda Li, Zhiqiang Hu, Wen Chen +1
Immunohistochemical (IHC) staining highlights the molecular information critical to diagnostics in tissue samples. However, compared to H&E staining, IHC staining can be much more…
Hybrid Supervision Learning for Pathology Whole Slide Image Classification
Jiahui Li, Wen Chen, Xiaodi Huang +5
Weak supervision learning on classification labels has demonstrated high performance in various tasks, while a few pixel-level fine annotations are also affordable. Naturally a que…
Large-scale Gastric Cancer Screening and Localization Using Multi-task Deep Neural Network
Hong Yu, Xiaofan Zhang, Lingjun Song +20
Gastric cancer is one of the most common cancers, which ranks third among the leading causes of cancer death. Biopsy of gastric mucosa is a standard procedure in gastric cancer scr…