SOTAVerified

Lung Nodule Classification

Papers

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Showing 1–25 of 35 papers

TitleStatusHype
Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules ClassificationCode1
Lung nodule detection and classification from Thorax CT-scan using RetinaNet with transfer learningCode1
Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung LesionsCode1
Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2Code1
Fast CapsNet for Lung Cancer ScreeningCode0
Diagnostic Classification Of Lung Nodules Using 3D Neural NetworksCode0
Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimizationCode0
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and ClassificationCode0
Lung Nodule Classification using Deep Local-Global NetworksCode0
Lung cancer detection from thoracic CT scans using an ensemble of deep learning modelsCode0
Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics—0
Lung Cancer Screening Using Adaptive Memory-Augmented Recurrent Networks—0
Lung Nodule Classification by the Combination of Fusion Classifier and Cascaded Convolutional Neural Networks—0
Lung Nodule Classification Using Biomarkers, Volumetric Radiomics and 3D CNNs—0
Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules—0
Meta ordinal weighting net for improving lung nodule classification—0
Multi-stage Neural Networks with Single-sided Classifiers for False Positive Reduction and its Evaluation using Lung X-ray CT Images—0
ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung Nodule Classification—0
Radiomic feature selection for lung cancer classifiers—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