Brianne A Bruijns, Matthew Bourke, Kendall Saravanamuttoo, Patricia Tucker
Physical activity, sedentary behaviour, and sleep knowledge and self-efficacy among parents of young children in Canada
Journal of activity, sedentary and sleep behaviors
graph neural network gnn extensively used histopathology whole slide image wsi analysis due efficiency flexibility modelling relationships among entities however existing gnnbased wsi analysis methods consider pairwise correlation patches one single perspective eg spatial affinity embedding similarity yet ignore intrinsic nonpairwise relationships present gigapixel wsi likely contribute feature learning downstream tasks objective study therefore explore nonpairwise relationships histopathology wsi exploit guide learning slidelevel representations better classification performance paper propose novel masked hypergraph learning maskhgl framework weakly supervised histopathology wsi classification compared gnnbased wsi classification methods maskhgl exploits nonpairwise correlations patches hypergraph global message passing conducted hypergraph convolution concretely multiperspective hypergraphs first built wsi hypergraph attention introduced jointed hypergraph propagate nonpairwise relationships thus yield discriminative node representation importantly masked hypergraph reconstruction module devised guide hypergraph learning generate powerful robustness generalization method using hypergraph modelling additionally selfattentionbased node aggregator also applied explore global correlation patches wsi produce slidelevel representation classification proposed method evaluated two public tcga benchmark datasets one inhouse dataset public tcgalung 1494 wsis tcgaegfr 696 wsis test set area receiver operating characteristic roc curve auc 0975200024 0742100380 respectively ustcegfr 754 wsis dataset maskhgl achieved significantly better performance auc 0874500100 surpassed secondbest stateoftheart method slidegraph 264 maskhgl shows great improvement brought considering intrinsic nonpairwise relationships within wsi multiple downstream wsi classification tasks particular designed masked hypergraph reconstruction module promisingly alleviates data scarcity greatly enhances robustness classification ability maskhgl notably shown great potential cancer subtyping finegrained lung cancer gene mutation prediction hematoxylin eosin stained wsis