Whole Slide Image Classification of Salivary Gland Tumours

Finding regions of human tissue that show signs of cancer

Medical Image Understanding and Analysis, 28th Annual Conference - August 2024 (Published)

https://doi.org/10.3389/978-2-8325-1244-9

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.

Publisher: Frontiers Media SA

ISBN: 978-2-8325-1244-9

Product Name: Frontiers Abstract Book