jafarinia/snuffy
Snuffy: Efficient Whole Slide Image Classifier For Efficient and Performant Diagnosis in Pathology Whole Slide Images
Snuffy helps pathologists efficiently classify whole slide images (WSIs) for cancer diagnosis. It takes raw whole slide images of tissue samples as input and outputs classifications of whether the sample is cancerous or not, with high accuracy. This tool is designed for pathologists, lab technicians, and researchers working with large digital pathology slides.
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Use this if you need an accurate and computationally efficient method to classify whole slide images for cancer detection, especially in scenarios with limited pre-training data or when performing continual few-shot pre-training.
Not ideal if you are not working with whole slide images for pathology diagnosis, or if you lack the necessary computational resources (like a GPU) to process very large image files.
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54
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5
Language
Python
License
MIT
Category
Last pushed
Sep 24, 2024
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