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Foundation Models for Quantitative Biomarker Discovery in Cancer Imaging
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...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cold Spring Harbor Laboratory
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508804/ https://www.ncbi.nlm.nih.gov/pubmed/37732237 http://dx.doi.org/10.1101/2023.09.04.23294952 |