bupt-ai-cz/BCI

BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix

40
/ 100
Emerging

This project helps medical researchers and pathologists generate synthetic breast cancer immunohistochemical (IHC) images from standard Hematoxylin and Eosin (HE) stained images. You provide pairs of HE and corresponding IHC images for training, and the system learns to convert new HE images into realistic IHC images. This tool is for scientists working on breast cancer research, pathology, and medical image analysis.

202 stars. No commits in the last 6 months.

Use this if you need to create synthetic breast cancer IHC images from HE images for research, training, or data augmentation purposes, especially when real IHC images are scarce.

Not ideal if you require diagnostic-grade image generation for direct clinical use or if your primary interest is in general image-to-image translation outside of breast cancer histology.

breast-cancer-research pathology-imaging medical-image-synthesis histopathology biomedical-imaging
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 14 / 25

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Stars

202

Forks

21

Language

Python

License

Last pushed

Mar 09, 2024

Commits (30d)

0

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