A self-training teacher-student framework raises pulmonary vessel segmentation precision on COPD CT scans from 88.0% to 90.3% while keeping Dice overlap nearly unchanged.
As reported by global initiative for chronic obstructive lung disease (GOLD), CT imaging plays an increasingly important role in diagnosis and evaluation of COPD patients [2]
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
eess.IV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
A Self-training Framework for Semi-supervised Pulmonary Vessel Segmentation and Its Application in COPD
A self-training teacher-student framework raises pulmonary vessel segmentation precision on COPD CT scans from 88.0% to 90.3% while keeping Dice overlap nearly unchanged.