Selecting a small set of high-cellularity patches and encoding them with Fisher vectors gives whole-slide classification accuracy comparable to processing all patches, with much lower compute.
Monte-carlo sampling applied to multiple instance learning for histological image classification
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Efficient Whole Slide Image Classification through Fisher Vector Representation
Selecting a small set of high-cellularity patches and encoding them with Fisher vectors gives whole-slide classification accuracy comparable to processing all patches, with much lower compute.