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.
I would like to retrieve patches from svs images at 20x magnification. From tutorial I have seen, patches have been retrieved only using levels, Is there a way to get patches using magnification and store them in png format?
I would like to retrieve patches from svs images at 20x magnification. From tutorial I have seen, patches have been retrieved only using levels, Is there a way to get patches using magnification and store them in png format?