Enhancing cross-institute generalisation of GNNs in histopathology through multiple embedding graph augmentation (MEGA)
Many recent methods for the analysis of histology whole slide images (WSIs) have used graph neural networks (GNNs) to aggregate visual information over a large image resolution. However, domain shift is a significant challenge in computational histopathology, due to differences in WSI appearance bet...
| Main Authors: | , , , , , , , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Springer
2024
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