SOTAVerified

Lung Nodule Classification

Papers

Showing 110 of 35 papers

TitleStatusHype
Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2Code1
Self-DenseMobileNet: A Robust Framework for Lung Nodule Classification using Self-ONN and Stacking-based Meta-Classifier0
Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung LesionsCode1
Lung cancer detection from thoracic CT scans using an ensemble of deep learning modelsCode0
Are Deep Learning Classification Results Obtained on CT Scans Fair and Interpretable?0
Wavelet leader based formalism to compute multifractal features for classifying lung nodules in X-ray images0
Deep fusion of gray level co-occurrence matrices for lung nodule classification0
Faithful learning with sure data for lung nodule diagnosis0
The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification0
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data0
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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