most citedRethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation

4 citations · 4 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2024

Aligning Medical Images with General Knowledge from Large Language Models

Xiao Fang, Yi Lin, Dong Zhang +2

Pre-trained large vision-language models (VLMs) like CLIP have revolutionized visual representation learning using natural language as supervisions, and demonstrated promising gene…

cs.CV2024

BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point Labels

Yi Lin, Zeyu Wang, Dong Zhang +2

Nuclei segmentation is a fundamental prerequisite in the digital pathology workflow. The development of automated methods for nuclei segmentation enables quantitative analysis of t…

cs.CV2023★ 4 cited

Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation

Yi Lin, Dong Zhang, Xiao Fang +3

Medical image segmentation is a fundamental task in the community of medical image analysis. In this paper, a novel network architecture, referred to as Convolution, Transformer, a…