A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification

Foundation models, often pre-trained with large-scale data, have achieved paramount success in jump-starting various vision and language applications. Recent advances further enable adapting foundation models in downstream tasks efficiently using only a few training samples, e.g., in-context learnin...

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Detalles Bibliográficos
Autores principales: Wang, Dequan, Wang, Xiaosong, Wang, Lilong, Li, Mengzhang, Da, Qian, Liu, Xiaoqiang, Gao, Xiangyu, Shen, Jun, He, Junjun, Shen, Tian, Duan, Qi, Zhao, Jie, Li, Kang, Qiao, Yu, Zhang, Shaoting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475041/
https://www.ncbi.nlm.nih.gov/pubmed/37660106
http://dx.doi.org/10.1038/s41597-023-02460-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475041/
https://www.ncbi.nlm.nih.gov/pubmed/37660106
http://dx.doi.org/10.1038/s41597-023-02460-0

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