PathBench-MIL: A Comprehensive AutoML and Benchmarking Framework for Multiple Instance Learning in Histopathology
Abstract
We introduce PathBench-MIL, an open-source AutoML and benchmarking framework for multiple instance learning (MIL) in histopathology. The system automates end-to-end MIL pipeline construction, including preprocessing, feature extraction, and MIL-aggregation, and provides reproducible benchmarking of dozens of MIL models and feature extractors. PathBench-MIL integrates visualization tooling, a unified configuration system, and modular extensibility, enabling rapid experimentation and standardization across datasets and tasks. PathBench-MIL is publicly available at https://github.com/Sbrussee/PathBench-MIL
Authors 6
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Leiden University Medical Center
Affiliation as printed
Department of Pathology , Leiden University Medical Center
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Leiden University Medical Center
Affiliation as printed
Department of Pathology , Leiden University Medical Center
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Leiden University Medical Center
Affiliation as printed
Department of Pathology , Leiden University Medical Center
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Leiden University Medical Center · University Medical Center Utrecht
Affiliation as printed
Department of Pathology , Leiden University Medical Center
Department of Pathology , Utrecht University Medical Center
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Leiden University Medical Center
Affiliation as printed
Department of Pathology , Leiden University Medical Center
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Leiden University Medical Center · Amsterdam UMC Location University of Amsterdam · Amsterdam University Medical Centers
Affiliation as printed
Department of Pathology , Amsterdam University Medical Center 19-12 -2025
Department of Pathology , Leiden University Medical Center
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