SBU-BMI/champkit
Benchmarking toolkit for patch-based histopathology image classification.
This toolkit helps histopathology researchers and computational pathologists objectively compare the performance of different AI models designed to classify tissue samples. You provide various histopathology image datasets and trained classification models, and it systematically evaluates and benchmarks how well these models perform across different diagnostic tasks. The output provides reproducible performance metrics, enabling you to identify the most effective AI approaches for specific histopathological analyses.
No commits in the last 6 months.
Use this if you are developing or evaluating AI models for histopathology and need a standardized, reproducible way to benchmark their classification accuracy on diverse patch-based image datasets.
Not ideal if you are looking for a tool to train new histopathology models from scratch or if your primary goal is to perform routine diagnostic image analysis without comparative model evaluation.
Stars
44
Forks
5
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 02, 2023
Commits (30d)
0
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