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...

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Detalles Bibliográficos
Autores principales: Pai, Suraj, Bontempi, Dennis, Prudente, Vasco, Hadzic, Ibrahim, Sokač, Mateo, Chaunzwa, Tafadzwa L., Bernatz, Simon, Hosny, Ahmed, Mak, Raymond H, Birkbak, Nicolai J, Aerts, Hugo JWL
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
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

Internet

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

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