Dynamic Graph Representation for WSI Classification: A Knowledge-Aware Attention Mechanism for Enhanced Computational Pathology

Computational pathologists are now concentrating on developing methods for histopathological WSI analysis using deep learning. Methods using Transformer as a foundation are widely debated in the present paradigm, which is largely built on multiple instances learning (MIL). By using WSI sequence toke...

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Vydané v:	2025 International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI) s. 1084 - 1088
Hlavní autori:	Kumar, T. Rajesh, R, Mahaveerakannan, R., Balamanigandan, Subramanian, P., Mallampalli, Praveena
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 16.01.2025
Predmet:	Attention mechanisms Classification algorithms Deep learning Graph-based methods Head Heuristic algorithms Histopathological whole slide image Inference algorithms Knowledge graph structure Knowledge graphs Multiple instance learning Optimal dynamic graph representation Pathology Puma optimizer algorithm Transformers Transforms
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