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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Bibliographic Details
Published in:	2025 International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI) pp. 1084 - 1088
Main Authors:	Kumar, T. Rajesh, R, Mahaveerakannan, R., Balamanigandan, Subramanian, P., Mallampalli, Praveena
Format:	Conference Proceeding
Language:	English
Published:	IEEE 16.01.2025
Subjects:	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
Online Access:	Get full text
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