Leveraging commonality across multiple tissue slices for enhanced whole slide image classification using graph convolutional networks

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Sakonporn Noree, Willmer Rafell Quiñones Robles, Young Sin Ko, Mun Yong Yi

Published: 2025, Last Modified: 23 Jan 2026BMC Medical Imaging 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Accurate classification of histopathological whole slide images (WSIs) is essential for cancer diagnosis and treatment planning. Conventional WSI creation involves slicing a biopsy tissue into multiple slices, placing them on a single glass slide, and digitally scanning them. While deep learning approaches have shown promise in WSI analysis, they mostly overlook potential common patterns across different slices of the original tissue.