Accelerating Data Processing and Benchmarking of AI Models for Pathology
10 Feb 2025 · Andrew Zhang, Guillaume Jaume, Anurag Vaidya, Tong Ding, Faisal Mahmood
Advances in foundation modeling have reshaped computational pathology. However, the increasing number of available models and lack of standardized benchmarks make it increasingly complex to assess their strengths, limitations, and potential for further development. To address these challenges, we introduce a new suite of software tools for whole-slide image processing, foundation model benchmarking, and curated publicly available tasks. We anticipate that these resources will promote transparency, reproducibility, and continued progress in the field.
Paper: https://arxiv.org/pdf/2502.06750v1.pdf
Codes:
https://github.com/mahmoodlab/trident
https://github.com/mahmoodlab/patho-bench
10 Feb 2025 · Andrew Zhang, Guillaume Jaume, Anurag Vaidya, Tong Ding, Faisal Mahmood
Advances in foundation modeling have reshaped computational pathology. However, the increasing number of available models and lack of standardized benchmarks make it increasingly complex to assess their strengths, limitations, and potential for further development. To address these challenges, we introduce a new suite of software tools for whole-slide image processing, foundation model benchmarking, and curated publicly available tasks. We anticipate that these resources will promote transparency, reproducibility, and continued progress in the field.
Paper: https://arxiv.org/pdf/2502.06750v1.pdf
Codes:
https://github.com/mahmoodlab/trident
https://github.com/mahmoodlab/patho-bench
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https://t.me/DataScienceT
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