Lung Nodule Classification
8 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Lung Nodule Classification
| Trend | Dataset | Best Model | Paper | Code | Compare |
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LIDC-IDRI
Latest papers with no code
Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization
TPE or random search was used for parameter optimization of SVM and XGBoost.
Multi-stage Neural Networks with Single-sided Classifiers for False Positive Reduction and its Evaluation using Lung X-ray CT Images
Lung nodule classification is a class imbalanced problem because nodules are found with much lower frequency than non-nodules.
Towards automatic pulmonary nodule management in lung cancer screening with deep learning
The introduction of lung cancer screening programs will produce an unprecedented amount of chest CT scans in the near future, which radiologists will have to read in order to decide on a patient follow-up strategy.
Benign-Malignant Lung Nodule Classification with Geometric and Appearance Histogram Features
Lung cancer accounts for the highest number of cancer deaths globally.
