SBU-BMI/wsinfer
🔥 🚀 Blazingly fast pipeline for patch-based classification in whole slide images
This tool helps pathologists and researchers quickly analyze whole slide images (WSIs) for specific features, like tumor probability. You provide your digital whole slide images, and it generates a heatmap overlay showing the likelihood of a particular classification across the tissue. It's designed for biomedical researchers and computational pathologists working with large image datasets.
Used by 1 other package. No commits in the last 6 months. Available on PyPI.
Use this if you need to apply pre-trained deep learning models to large collections of whole slide pathology images to identify specific patterns or conditions.
Not ideal if you need a clinical diagnostic tool or want to train new deep learning models from scratch, as this project is for research use only and focuses on inference.
Stars
85
Forks
14
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 11, 2024
Commits (30d)
0
Dependencies
15
Reverse dependents
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/SBU-BMI/wsinfer"
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