PathML tools for computational pathology

PathML objective is to lower the barrier to entry to digital pathology.

Examples:

1. Load over 160+ different types of pathology images using PathML
2. H&E Stain Deconvolution and Color Normalization
3. Brightfield imaging pipeline: load an image, preprocess it on a local cluster, and get it read for machine learning analyses in PyTorch
4. Multiparametric Imaging: Quickstart & single-cell quantification
5. Multiparametric Imaging: CODEX & nuclei quantization
6. Train HoVer-Net model to perform nucleus detection and classification, using data from PanNuke dataset
7. Gallery of PathML preprocessing and transformations

More information at: https://github.com/Dana-Farber-AIOS/pathml

in a hurry?   docker pull pathml/pathml && docker run -it -p 8888:8888 pathml/pathml