Dylan Agyemang

Dec 20, 2024 | science.org | Yue Zhao |Dylan Agyemang |Yang Liu |Matt Mahoney

Published In Science AdvancesVolume 10 | Issue 51December 2024Article versionsSubmission historyReceived: 12 May 2024Accepted: 15 November 2024PermissionsRequest permissions for this article. AcknowledgmentsWe would like to express our sincere gratitude to senior scientific writer C. Robinett, whose invaluable contributions enhanced the quality of this manuscript.

Jan 22, 2024 | biorxiv.org | Yue Zhao |Yang Liu |Matt Mahoney |Dylan Agyemang

AbstractThe use of deep learning algorithms to extract meaningful diagnostic features from biomedical images holds the promise to improve patient care given the expansion of digital pathology. Among these deep learning models, Vision Transformer (ViT) models have been demonstrated to capture long-range spatial relationships with more robust prediction power for image classification tasks than regular convolutional neural network (CNN) models, and also better model interpretability.