1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2025★ 1 cited
Exploiting Inherent Class Label: Towards Robust Scribble Supervised Semantic Segmentation
Xinliang Zhang, Lei Zhu, Shuang Zeng +5
Scribble-based weakly supervised semantic segmentation leverages only a few annotated pixels as labels to train a segmentation model, presenting significant potential for reducing…
eess.IV2024
Modality-Projection Universal Model for Comprehensive Full-Body Medical Imaging Segmentation
Yixin Chen, Lin Gao, Yajuan Gao +8
The integration of deep learning in medical imaging has shown great promise for enhancing diagnostic, therapeutic, and research outcomes. However, applying universal models across…