PathBench-MIL

PathBench-MIL automates end-to-end multiple instance learning pipeline construction, including preprocessing, feature extraction, and MIL-aggregation, and provides reproducible benchmarking of dozens of MIL models and feature extractors in histopathology.

Key Features:

• AutoML Pipeline Construction: The system automates end-to-end MIL pipeline construction, including preprocessing, feature extraction, and MIL-aggregation.
• Reproducible Benchmarking: The framework provides reproducible benchmarking of dozens of MIL models and feature extractors.
• Visualization Tooling: PathBench-MIL integrates visualization tooling for analysis and interpretation.
• Unified Configuration System: The framework includes a unified configuration system for standardizing experiments.
• Modular Extensibility: PathBench-MIL enables modular extensibility for rapid experimentation across datasets and tasks.

Scientific Applications:

• Histopathology Image Analysis: PathBench-MIL enables multiple instance learning for histopathology datasets and tasks.
• MIL Model Benchmarking: The framework standardizes benchmarking of MIL models and feature extractors across datasets and tasks.
• Rapid Experimentation: PathBench-MIL facilitates rapid experimentation with multiple instance learning pipelines in histopathology research.

Methodology:

The framework automates end-to-end MIL pipeline construction, including preprocessing, feature extraction, and MIL-aggregation, with a unified configuration system and modular extensibility.