Encoder-Decoder Cell and Nuclei segmentation models
The code implementation for cell segmentation
Package using StarDist and Python that performs object detection and spatial analysis on H&E images
script to create labels (for training a deep neural network) based on nucleus segmentation using StarDist (still experimental)
Pipeline meant to segment and classify organoids, or any other blob-like structures (star-convex polygons). Microscopy images can be easily annotated in QuPath and automatically processed afterwards to count the class distribution within each image using this pipeline (TIF files will be converted to grayscale)
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