Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast

Tissue segmentation is an essential task in computational pathology. However, relevant datasets for such a pixel-level classification task are hard to obtain due to the difficulty of annotation, bringing obstacles for training a deep learning-based segmentation model. Recently, contrastive learning...

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