These examples assume you are all set with PathML
installation, let's get started with some analyses you can easily replicate:
- Load over 160+ different types of pathology images using PathML
- H&E Stain Deconvolution and Color Normalization
- Brightfield imaging pipeline: load an image, preprocess it on a local cluster, and get it read for machine learning analyses in PyTorch
- Multiparametric Imaging: Quickstart & single-cell quantification
- Multiparametric Imaging: CODEX & nuclei quantization
- Train HoVer-Net model to perform nucleus detection and classification, using data from PanNuke dataset
- Gallery of PathML preprocessing and transformations
- Other examples from the Rosenthal et al. 2022 paper can be found in the
vignettes
folder