Article

Foundation Models for Quantitative Biomarker Discovery in Cancer Imaging

2023-09-05

Abstract excerpt

Foundation models represent a recent paradigm shift in deep learning, where a single large-scale model trained on vast amounts of data can serve as the foundation for various downstream tasks. Foundation models are generally trained using self-supervised learning and excel in reducing the demand for training samples in downstream applications. This is especially important in medicine, where large labeled datasets...

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Literature Corpus work: 88bf0234-1467-5db5-b99f-c6054f0d3409
DOI: 10.1101/2023.09.04.23294952

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