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Challenges associated with MIL.
Model interpretability
Bag-level feature representation
To overcome the limitations and improve the performance of MIL-based cancer diagnostic models, several strategies can be employed:
Instance selection or weighting: Selecting informative instances within bags or assigning instance weights can enhance the discrimination between positive and negative bags
Ensembling and boosting: Ensembling multiple MIL models or applying boosting techniques can enhance the overall performance and robustness of the models |