Whole Slide Image Classification of Salivary Gland Tumours

This work shows promising results using multiple instance learning on salivary gland tumours in classifying cancers on whole slide images. Utilising CTransPath as a patch-level feature extractor and CLAM as a feature aggregator, an F1 score of over 0.88 and AUROC of 0.92 are obtained for detecting cancer in whole slide images.
Comment: 5 pages, 2 figures, 28th UK Conference on Medical Image Understanding and Analysis - clinical abstract