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

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

Abstract 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-contex...

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Bibliographic Details
Main Authors: Dequan Wang, Xiaosong Wang, Lilong Wang, Mengzhang Li, Qian Da, Xiaoqiang Liu, Xiangyu Gao, Jun Shen, Junjun He, Tian Shen, Qi Duan, Jie Zhao, Kang Li, Yu Qiao, Shaoting Zhang
Format: Article
Language:English
Published: Nature Portfolio 2023-09-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-023-02460-0

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https://doi.org/10.1038/s41597-023-02460-0

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