BCI

Breast Cancer Immunohistochemical Image Generation

Dataset Information
Modalities
Images, Biomedical, Medical
Languages
English
Introduced
2022
License
Homepage

Overview

The evaluation of human epidermal growth factor receptor 2 (HER2) expression is essential to formulate a precise treatment for breast cancer. The routine evaluation of HER2 is conducted with immunohistochemical techniques (IHC), which is very expensive. Therefore, we propose a breast cancer immunohistochemical (BCI) benchmark attempting to synthesize IHC data directly with the paired hematoxylin and eosin (HE) stained images. The dataset contains 4870 registered image pairs, covering a variety of HER2 expression levels (0, 1+, 2+, 3+).

Variants: BCI

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Image-to-Image Translation pix2pixHD BCI: Breast Cancer Immunohistochemical Image … 2022-04-25
Image-to-Image Translation pyramidpix2pix BCI: Breast Cancer Immunohistochemical Image … 2022-04-25
Image-to-Image Translation pix2pix BCI: Breast Cancer Immunohistochemical Image … 2022-04-25
Image-to-Image Translation cycleGAN BCI: Breast Cancer Immunohistochemical Image … 2022-04-25

Research Papers

Recent papers with results on this dataset: