no code implementations • 16 May 2024 • Milda Pocevičiūtė, Gabriel Eilertsen, Stina Garvin, Claes Lundström
Our contributions include showing that MIL for digital pathology is affected by clinically realistic differences in data, evaluating which features from a MIL model are most suitable for detecting changes in performance, and proposing an unsupervised metric named Fr\'echet Domain Distance (FDD) for quantification of domain shifts.