The paper proposes clustering patch embeddings into ten cluster means and classifying the mean vectors with attention MIL, reporting 0.83 accuracy on lung EGFR and 0.75 on Camelyon17 metastasis classification.
Review of the current state of whole slide imaging in pathology
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Clustered Patch Embeddings for Permutation-Invariant Classification of Whole Slide Images
The paper proposes clustering patch embeddings into ten cluster means and classifying the mean vectors with attention MIL, reporting 0.83 accuracy on lung EGFR and 0.75 on Camelyon17 metastasis classification.