SOTAVerified

Lung Nodule Classification

Papers

Showing 1120 of 35 papers

TitleStatusHype
Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics0
Meta ordinal weighting net for improving lung nodule classification0
Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules ClassificationCode1
3D Axial-Attention for Lung Nodule Classification0
Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules0
ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung Nodule Classification0
Lung Nodule Classification Using Biomarkers, Volumetric Radiomics and 3D CNNs0
Contraction Mapping of Feature Norms for Classifier Learning on the Data with Different Quality0
Lung nodule detection and classification from Thorax CT-scan using RetinaNet with transfer learningCode1
Radiomic feature selection for lung cancer classifiers0
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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