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A graph-transformer for whole slide image classification
Here we present a Graph-Transformer (GT) that fuses a graph-based representation of an WSI and a vision transformer for processing pathology images, called GTP, to predict disease grade.
U-Net-and-a-half: Convolutional network for biomedical image segmentation using multiple expert-driven annotations
If more than a single expert is involved in the annotation of the same images, then the inter-expert agreement is not necessarily perfect, and no single expert annotation can precisely capture the so-called ground truth of the regions of interest on all images.
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