SOTAVerified

Lung Nodule Classification

Papers

Showing 3135 of 35 papers

TitleStatusHype
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