kaiko-ai/eva
Evaluation framework for oncology foundation models (FMs)
This framework helps oncology researchers and medical AI developers evaluate the performance of their AI models (foundation models) designed for cancer diagnosis and analysis. You input your oncology foundation model and relevant medical datasets (like pathology slides or scan images), and it outputs standardized performance metrics, helping you understand how well your model classifies, segments, or answers questions about cancer-related data.
152 stars.
Use this if you are developing or using AI foundation models in oncology and need a standardized, robust way to measure their accuracy and effectiveness across various tasks like tumor detection or cell segmentation.
Not ideal if you are looking for a tool to develop new oncology foundation models from scratch, as this focuses on evaluating existing ones.
Stars
152
Forks
37
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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