AtlasAnalyticsLab/AtlasPatch
AtlasPatch: An Efficient and Scalable Tool for Whole Slide Image Preprocessing
This tool helps computational pathologists and researchers efficiently prepare whole slide images (WSIs) for analysis. It takes high-resolution digital pathology slides as input, automatically detects tissue regions, and extracts relevant image patches along with their associated features. The output is a structured dataset of patches, ready for use in machine learning models or further research.
Use this if you need to reliably identify tissue areas and extract standardized image patches from large pathology slides for high-throughput computational pathology workflows.
Not ideal if you are working with non-pathology images or do not require advanced tissue detection and feature extraction capabilities for your whole slide images.
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44
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Language
Python
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Last pushed
Feb 18, 2026
Commits (30d)
0
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