English

Accelerating Data Processing and Benchmarking of AI Models for Pathology

Computer Vision and Pattern Recognition 2025-02-11 v1

Abstract

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.

Keywords

Cite

@article{arxiv.2502.06750,
  title  = {Accelerating Data Processing and Benchmarking of AI Models for Pathology},
  author = {Andrew Zhang and Guillaume Jaume and Anurag Vaidya and Tong Ding and Faisal Mahmood},
  journal= {arXiv preprint arXiv:2502.06750},
  year   = {2025}
}
R2 v1 2026-06-28T21:39:00.074Z