mahmoodlab/CLAM
Open source tools for computational pathology - Nature BME
This tool helps pathologists and researchers analyze whole slide images (WSIs) of tissue samples for disease classification without needing detailed manual annotations. It takes digitized WSI files (like .svs, .ndpi) as input and outputs classifications of the entire slide, identifying key diagnostic regions. It is designed for computational pathologists, histopathology researchers, and anyone working with large collections of digital pathology slides who needs to automate disease subtyping or detection.
1,625 stars. No commits in the last 6 months.
Use this if you need to classify whole slide images efficiently using only slide-level diagnoses, rather than spending time meticulously labeling specific regions within each slide.
Not ideal if your primary goal is to segment individual cells or very fine-grained structures within pathology images, as this tool focuses on whole-slide classification.
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Language
Python
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GPL-3.0
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Apr 14, 2025
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