337 - Whole Slide Image segmentation for nuclei using Detectron2 and YOLOv8
This tutorial builds upon the exercise covered in our previous tutorial ( • 336 - Nuclei segmentation and analysi... ), where we trained Detectron2 and YOLOv8 models for Nuclei detection. In this continuation, we will utilize these trained models for segmenting whole slide images with .svs extensions. Additionally, we will demonstrate the use of memory-mapping to efficiently handle large arrays.
Sample svs file used in the tutorial: https://github.com/camicroscope/Distr...
A few large svs images can be downloaded from here: https://openslide.cs.cmu.edu/download...
Code from this tutorial is available here: (Just look for number 337 directory on my GitHub page: https://github.com/bnsreenu/python_fo...
Direct link here: https://github.com/bnsreenu/python_fo...
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