GNN-ViTCap combines deep embedded clustering, graph-based aggregation, and large language models to classify and caption microscopic whole slide images, reporting high F1, AUC, BLEU, and METEOR scores on BreakHis and PatchGastric.
Artificial intelligence for digital and compu- tational pathology,
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GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning
GNN-ViTCap combines deep embedded clustering, graph-based aggregation, and large language models to classify and caption microscopic whole slide images, reporting high F1, AUC, BLEU, and METEOR scores on BreakHis and PatchGastric.