无监督互相转换器学习用于多千兆像素全切片图像分类（英文版）

英文标题：Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification中文摘要：提出一种基于相互 Transformer 学习的全无监督 WSI 分类算法，并在公开数据集上进行了广泛实验，证明了该方法在 WSI 分类和癌症亚型分类方面的优越性能。英文摘要：Classification of gigapixel Whole Slide Images (WSIs) is an importantprediction task in the emerging area of computational pathology. There has beena surge of research in deep learning models for WSI classification withclinical applications such as cancer detection or prediction of molecularmutations from W