SOTAVerified

Lung Nodule Classification

Papers

Showing 11–20 of 35 papers

TitleStatusHype
Wavelet leader based formalism to compute multifractal features for classifying lung nodules in X-ray images—0
Are Deep Learning Classification Results Obtained on CT Scans Fair and Interpretable?—0
Benign-Malignant Lung Nodule Classification with Geometric and Appearance Histogram Features—0
Classification of lung nodules in CT images based on Wasserstein distance in differential geometry—0
Self-DenseMobileNet: A Robust Framework for Lung Nodule Classification using Self-ONN and Stacking-based Meta-Classifier—0
Shape and Margin-Aware Lung Nodule Classification in Low-dose CT Images via Soft Activation Mapping—0
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data—0
The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification—0
Towards automatic pulmonary nodule management in lung cancer screening with deep learning—0
3D Axial-Attention for Lung Nodule Classification—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MSTAUC95—Unverified
2ProCANAccuracy94.11—Unverified
3GVAEAccuracy93.1—Unverified
4Gated-DilatedAccuracy92.57—Unverified
5NASLung (ours)Accuracy90.77—Unverified
6DeepLungAccuracy90.44—Unverified
7Local-GlobalAccuracy88.46—Unverified
8I3DR-NetAUC81.84—Unverified