Search Results for author: Die Luo

Found 2 papers, 2 papers with code

ParamNet: A Parameter-variable Network for Fast Stain Normalization

1 code implementation11 May 2023 Hongtao Kang, Die Luo, Li Chen, Junbo Hu, Shenghua Cheng, Tingwei Quan, Shaoqun Zeng, Xiuli Liu

The feature of parameter variable ensures that our network has a sufficient capability for various stain normalization tasks.

Computational Efficiency Parameter Prediction

StainNet: a fast and robust stain normalization network

1 code implementation23 Dec 2020 Hongtao Kang, Die Luo, Weihua Feng, Junbo Hu, Shaoqun Zeng, Tingwei Quan, Xiuli Liu

The conventional stain normalization is regarded as constructing a pixel-by-pixel color mapping model, which only depends on one reference image, and can not accurately achieve the style transformation between image datasets.

Computational Efficiency

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