Deep sparse and binary Fisher vectors usually outperform pooling, Deep Sets, memory networks, and focal attention for single-vector WSI retrieval on four TCGA sites.
Representation learn- ing of histopathology images using graph neural networks
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Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology
Deep sparse and binary Fisher vectors usually outperform pooling, Deep Sets, memory networks, and focal attention for single-vector WSI retrieval on four TCGA sites.