SOTAVerified

Lung Nodule Classification

Papers

Showing 1120 of 35 papers

TitleStatusHype
Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics0
Lung Cancer Screening Using Adaptive Memory-Augmented Recurrent Networks0
Lung Nodule Classification by the Combination of Fusion Classifier and Cascaded Convolutional Neural Networks0
Lung Nodule Classification Using Biomarkers, Volumetric Radiomics and 3D CNNs0
Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules0
Meta ordinal weighting net for improving lung nodule classification0
Multi-stage Neural Networks with Single-sided Classifiers for False Positive Reduction and its Evaluation using Lung X-ray CT Images0
ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung Nodule Classification0
Radiomic feature selection for lung cancer classifiers0
Self-DenseMobileNet: A Robust Framework for Lung Nodule Classification using Self-ONN and Stacking-based Meta-Classifier0
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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