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Found 4 papers, 2 papers with code
AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images
Processing giga-pixel whole slide histopathology images (WSI) is a computationally expensive task.
Sparse Multi-Modal Graph Transformer With Shared-Context Processing for Representation Learning of Giga-Pixel Images
Processing giga-pixel whole slide histopathology images (WSI) is a computationally expensive task.
Weakly Supervised Prostate TMA Classification via Graph Convolutional Networks
In prostate cancer, the Gleason score is a grading system used to measure the aggressiveness of prostate cancer from the spatial organization of cells and the distribution of glands.
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images
However, CNNs require large amounts of labeled histopathology data.
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