Whole Slide Image Classification of Salivary Gland Tumours
<|reference_start|>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.<|reference_end|>
@article{charlton2024whole,
    title={Whole Slide Image Classification of Salivary Gland Tumours},
    author={John Charlton, Ibrahim Alsanie, Syed Ali Khurram},
    journal={arXiv preprint arXiv:2408.12275},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.12275},
    primaryClass={eess.IV cs.CV}
}