FOCI adds a post-hoc readout to frozen WSI-MIL models to find compact output-consistent tile subsets and measures selection headroom with SHI, showing transformer-based models allow smaller rationales than attention-pooling baselines.
Multiple instance learning for digital pathology: A review of the state-of-the-art, limitations & future potential.Computerized Medical Imaging and Graphics, 112:102337
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Are Compact Rationales Free? Measuring Tile Selection Headroom in Frozen WSI-MIL
FOCI adds a post-hoc readout to frozen WSI-MIL models to find compact output-consistent tile subsets and measures selection headroom with SHI, showing transformer-based models allow smaller rationales than attention-pooling baselines.