Whole Slide Image Classification of Salivary Gland Tumours

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Aug 22, 2024
John Charlton, Ibrahim Alsanie, Syed Ali Khurram
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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.

* 5 pages, 2 figures, 28th UK Conference on Medical Image Understanding and Analysis - clinical abstract  
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