CmFNet combines separate CT and MR feature streams with a cross-modal stream and a hybrid scribble, regularization, and consistency loss to segment tumors and organs from scribble annotations, reporting gains over several baselines on an NPC dataset and competitive results on WORD.
3d reconstruction-oriented fully automatic multi-modal tumor segmentation by dual attention-guided vnet,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
CmFNet: Cross-modal Fusion Network for Weakly-supervised Segmentation of Medical Images
CmFNet combines separate CT and MR feature streams with a cross-modal stream and a hybrid scribble, regularization, and consistency loss to segment tumors and organs from scribble annotations, reporting gains over several baselines on an NPC dataset and competitive results on WORD.