Placenta
Introduced by Vanea et al. in A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs
Placenta is a benchmark dataset for node classification in an underexplored domain: predicting microanatomical tissue structures from cell graphs in placenta histology whole slide images. Cell graphs are large (>1 million nodes per image), node features are varied (64-dimensions of 11 types of cells), class labels are imbalanced (9 classes ranging from 0.21% of the data to 40.0%), and cellular communities cluster into heterogeneously distributed tissues of widely varying sizes (from 11 nodes to 44,671 nodes for a single structure).
Source: A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs
Papers
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