Papers › BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix

BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix

25 Apr 2022arXiv:2204.11425archive 2025-07-28

ShengJie Liu, Chuang Zhu, Feng Xu, Xinyu Jia, Zhongyue Shi, Mulan Jin

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, for the first time, 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. Based on BCI, as a minor contribution, we further build a pyramid pix2pix image generation method, which achieves better HE to IHC translation results than the other current popular algorithms. Extensive experiments demonstrate that BCI poses new challenges to the existing image translation research. Besides, BCI also opens the door for future pathology studies in HER2 expression evaluation based on the synthesized IHC images. BCI dataset can be downloaded from https://bupt-ai-cz.github.io/BCI.

PaperPDFCode

In Syntology Open this paper in Syntology's Atlas, the map of the papers in Syntology's graph and their citations.

Code

bupt-ai-cz/BCI officialmentioned on GitHubpytorchNOASSERTION report

Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.

Code Syntology ran Syntology

Not run by Syntology. Nothing on this page verifies that the listed code works.

Tasks

Breast Cancer DetectionBreast Cancer Histology Image ClassificationClassification Of Breast Cancer Histology ImagesImage GenerationImage-to-Image TranslationMedical DiagnosisMedical Image GenerationTranslation

Datasets

Introduced by this paper, per the archive.

BCI

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Image-to-Image Translation BCI pyramidpix2pix Average PSNR 21.160 #1 of 4 Archive leaderboard report
Image-to-Image Translation BCI pyramidpix2pix SSIM 0.477 #1 of 4 Archive leaderboard report
Image-to-Image Translation BCI pix2pixHD Average PSNR 19.634 #2 of 4 Archive leaderboard report
Image-to-Image Translation BCI pix2pixHD SSIM 0.471 #2 of 4 Archive leaderboard report
Image-to-Image Translation BCI pix2pix Average PSNR 19.328 #3 of 4 Archive leaderboard report
Image-to-Image Translation BCI pix2pix SSIM 0.440 #3 of 4 Archive leaderboard report
Image-to-Image Translation BCI cycleGAN Average PSNR 16.203 #4 of 4 Archive leaderboard report
Image-to-Image Translation BCI cycleGAN SSIM 0.373 #4 of 4 Archive leaderboard report
Image-to-Image Translation FLIR BCI PSNR 11.14 #3 of 4 Archive leaderboard report
Image-to-Image Translation FLIR BCI SSIM 0.21 #3 of 4 Archive leaderboard report
Image-to-Image Translation LLVIP pyramidpix2pix PSNR 12.191 #1 of 4 Archive leaderboard report
Image-to-Image Translation LLVIP pyramidpix2pix SSIM 0.278 #1 of 4 Archive leaderboard report
Image-to-Image Translation LLVIP cycleGAN PSNR 11.22 #2 of 4 Archive leaderboard report
Image-to-Image Translation LLVIP cycleGAN SSIM 0.214 #2 of 4 Archive leaderboard report
Image-to-Image Translation LLVIP pix2pixHD PSNR 11.156 #3 of 4 Archive leaderboard report
Image-to-Image Translation LLVIP pix2pixHD SSIM 0.228 #3 of 4 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

Methods

Batch NormalizationConcatenated Skip ConnectionConvolutionDropoutPatchGANPix2PixReLUSigmoid Activation

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections