AIBullisharXiv – CS AI · 10h ago6/10
🧠
Rethinking the Adaptation of Vision Foundation Models for Efficient Cell Segmentation
Researchers introduce EffiCell-Seg, a framework that adapts Vision Foundation Models for cell segmentation without fine-tuning the visual encoder, achieving state-of-the-art performance with 130x fewer trainable parameters than conventional approaches. The method leverages pretrained model representations to extract structural priors for efficient cellular imaging analysis.