Bayesian Collaborative Learning for Whole-Slide Image Classification
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DOI: 10.1109/tmi.2023.3241204
Abstract: Whole-slide image (WSI) classification is fundamental to computational pathology, which is challenging in extra-high resolution, expensive manual annotation, data heterogeneity, etc. Multiple instance learning (MIL) provides a promising way towards WSI classification, which nevertheless suffers… read more here.
Keywords: classification; collaborative learning; bayesian collaborative; whole slide ... See more keywords