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eess.IV2025★ 3 cited
RepSNet: A Nucleus Instance Segmentation model based on Boundary Regression and Structural Re-parameterization
Shengchun Xiong, Xiangru Li, Yunpeng Zhong +1
Pathological diagnosis is the gold standard for tumor diagnosis, and nucleus instance segmentation is a key step in digital pathology analysis and pathological diagnosis. However,…
eess.IV2023★ 1 cited
Multi-Prompt Fine-Tuning of Foundation Models for Enhanced Medical Image Segmentation
Xiangru Li, Yifei Zhang, Liang Zhao
The Segment Anything Model (SAM) is a powerful foundation model that introduced revolutionary advancements in natural image segmentation. However, its performance remains sub-optim…