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.
Dear @ysbecca I am looking to extract tiles from a .svs file, perform segmentation on the tile and then stitch all the tiles back so they reappear as the whole slide image in the correct order. Is it possible to do that with py_wsi? I am asking since I could not locate code for stitching/merging the code in the repo.
Hi @talkhanz, unfortunately py_wsi doesn't do re-stitching. py_wsi does store the row, col coordinates of the sampled tiles which will be used for the re-stitching.
Dear @ysbecca I am looking to extract tiles from a .svs file, perform segmentation on the tile and then stitch all the tiles back so they reappear as the whole slide image in the correct order. Is it possible to do that with py_wsi? I am asking since I could not locate code for stitching/merging the code in the repo.