A stacked ensemble of three CNNs with model-level and class-level attention claims 98.09% accuracy and 0.9961 AUC for lung nodule classification on LIDC-IDRI.
Expert Systems with Applications 69, 176–188 (2017)
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
unclear 1representative citing papers
citing papers explorer
-
Multi-Attention Stacked Ensemble for Lung Cancer Detection in CT Scans
A stacked ensemble of three CNNs with model-level and class-level attention claims 98.09% accuracy and 0.9961 AUC for lung nodule classification on LIDC-IDRI.