#

whole-slide-annotation

Here are 2 public repositories matching this topic...

DIAGNijmegen / pathology-whole-slide-data

A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.

python deep-learning iterator wsd pathology whole-slide-imaging wsi computational-pathology wsm wsa histopathology whole-slide-image whole-slide-annotation whole-slide-mask whole-slide-dataset whole-slide-data

Updated Nov 7, 2024
Python

okunator / cellseg_gsontools

Feature extraction from GEOJson nuclei and tissue segmentation maps

graph-algorithms feature-extraction spatial-data-analysis morphological-analysis digital-pathology clustering-methods roi-selection nuclei-segmentation regionalization tissue-segmentation immune-infiltration whole-slide-image whole-slide-annotation

Updated Aug 5, 2024
Python

Improve this page

Add a description, image, and links to the whole-slide-annotation topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the whole-slide-annotation topic, visit your repo's landing page and select "manage topics."