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cs.CV2025
DeformCL: Learning Deformable Centerline Representation for Vessel Extraction in 3D Medical Image
Ziwei Zhao, Zhixing Zhang, Yuhang Liu +4
In the field of 3D medical imaging, accurately extracting and representing the blood vessels with curvilinear structures holds paramount importance for clinical diagnosis. Previous…
cs.CV2025
GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs
Zhao Zhang, Ziwei Zhao, Dong Wang +1
Accurately restoring topology is both challenging and crucial in tubular structure extraction tasks, such as blood vessel segmentation and road network extraction. Diverging from t…
cs.CV2025
LarvSeg: Exploring Image Classification Data For Large Vocabulary Semantic Segmentation via Category-wise Attentive Classifier
Haojun Yu, Di Dai, Ziwei Zhao +3
Scaling up the vocabulary of semantic segmentation models is extremely challenging because annotating large-scale mask labels is labour-intensive and time-consuming. Recently, lang…