A Single Reference-Guided Adaptation of Foundation Model Predictions for High-Performance Image Segmentation
Yizheng Chen, Sheng Liu, Junyan Liu, Lequan Yu et autres
Foundation models (FMs) in AI have garnered significant attention and demonstrated substantial potential across a broad range of applications. However, applying them to specific domains like biomedical imaging often necessitates further fine-tuning to achieve desirable prediction accuracy. This process typically requires large …
us, hk (code pays fourni par la source)
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IEEE Transactions on Biomedical Engineering