Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch sampling and storing using OpenSlide. Patches may be stored in LMDB, HDF5 files, or to disk. It is highly recommended to fork and download this repository so that personal customisations can be made for your work.
Hi Rebecca,
Your package is very help.
Could you provide a pointer for sample data?
I used a downloaded .svs. What xml file should I provide? Could you provide an example?
Hi Rebecca, Your package is very help. Could you provide a pointer for sample data? I used a downloaded .svs. What xml file should I provide? Could you provide an example?