nadeemlab/DeepLIIF
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]
DeepLIIF helps pathologists and researchers quickly and accurately quantify biomarkers in tissue samples stained with routine immunohistochemistry (IHC). It takes standard IHC slide images and automatically separates different stains, segments individual cells, and quantifies protein expression at a single-cell level. This provides precise, objective results that improve diagnostic accuracy and research outcomes.
241 stars. Available on PyPI.
Use this if you need to reliably quantify protein expression from IHC slides for diagnostic pathology or research, without the need for expensive multiplex immunofluorescence (mpIF) staining.
Not ideal if you primarily work with H&E slides and only need basic nuclear segmentation, or if your analysis doesn't require precise, single-cell quantification.
Stars
241
Forks
88
Language
Python
License
—
Category
Last pushed
Mar 07, 2026
Commits (30d)
0
Dependencies
13
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