med_core Package
The core package containing all MedFusion functionality.
Submodules
- aggregators - Multiple Instance Learning aggregators
- attention_supervision - Attention supervision mechanisms
- backbones - Feature extraction backbones
- datasets - Dataset implementations
- evaluation - Evaluation metrics and tools
- fusion - Multimodal fusion strategies
- heads - Classification and prediction heads
- models - Complete model implementations
- preprocessing - Data preprocessing utilities
- trainers - Training loops and strategies
- utils - Utility functions
med_core.output_layout- Shared run / seed / stability output directory helpersmed_core.stability- Reusable multi-seed stability study runner and summary writers
Configuration
The med_core.configs module provides configuration management and validation for MedFusion experiments.
Configuration Validation
Configuration validation ensures all settings are correct before training begins.