SOTAVerified

Lung Nodule Classification

Papers

Showing 2635 of 35 papers

TitleStatusHype
Wavelet leader based formalism to compute multifractal features for classifying lung nodules in X-ray images0
Are Deep Learning Classification Results Obtained on CT Scans Fair and Interpretable?0
Benign-Malignant Lung Nodule Classification with Geometric and Appearance Histogram Features0
Classification of lung nodules in CT images based on Wasserstein distance in differential geometry0
Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization0
Contraction Mapping of Feature Norms for Classifier Learning on the Data with Different Quality0
Deep fusion of gray level co-occurrence matrices for lung nodule classification0
Faithful learning with sure data for lung nodule diagnosis0
Gated-Dilated Networks for Lung Nodule Classification in CT scans0
Joint Learning for Pulmonary Nodule Segmentation, Attributes and Malignancy Prediction0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MSTAUC95Unverified
2ProCANAccuracy94.11Unverified
3GVAEAccuracy93.1Unverified
4Gated-DilatedAccuracy92.57Unverified
5NASLung (ours)Accuracy90.77Unverified
6DeepLungAccuracy90.44Unverified
7Local-GlobalAccuracy88.46Unverified
8I3DR-NetAUC81.84Unverified