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Lung Nodule Detection

Papers

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Showing 1–50 of 59 papers

TitleStatusHype
AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan DatasetsCode1
Models Genesis: Generic Autodidactic Models for 3D Medical Image AnalysisCode1
Lung nodule detection and classification from Thorax CT-scan using RetinaNet with transfer learningCode1
SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points MatchingCode1
A systematic approach to deep learning-based nodule detection in chest radiographsCode1
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restorationCode1
Improving Representation of High-frequency Components for Medical Visual Foundation ModelsCode1
Specialty-Oriented Generalist Medical AI for Chest CT ScreeningCode1
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection—0
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation—0
Cascaded Neural Networks with Selective Classifiers and its evaluation using Lung X-ray CT Images—0
CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance—0
Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis—0
CPLOYO: A Pulmonary Nodule Detection Model with Multi-Scale Feature Fusion and Nonlinear Feature Learning—0
Crowdsourcing Lung Nodules Detection and Annotation—0
CT-SGAN: Computed Tomography Synthesis GAN—0
Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection—0
Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation—0
Deep Learning for Automated Medical Image Analysis—0
Detection and Attention: Diagnosing Pulmonary Lung Cancer from CT by Imitating Physicians—0
Did you miss it? Automatic lung nodule detection combined with gaze information improves radiologists' screening performance—0
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection—0
Domain Adaptive Lung Nodule Detection in X-ray Image—0
Dual Skip Connections Minimize the False Positive Rate of Lung Nodule Detection in CT images—0
Deep convolutional neural networks for multi-planar lung nodule detection: improvement in small nodule identification—0
End-to-End Abnormality Detection in Medical Imaging—0
End-to-end lung nodule detection framework with model-based feature projection block—0
End-to-end Lung Nodule Detection in Computed Tomography—0
EXACT-Net:EHR-guided lung tumor auto-segmentation for non-small cell lung cancer radiotherapy—0
Exploring Instance-Level Uncertainty for Medical Detection—0
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection—0
Image Synthesis with Disentangled Attributes for Chest X-Ray Nodule Augmentation and Detection—0
Improved Focus on Hard Samples for Lung Nodule Detection—0
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering—0
X-ray Dissectography Improves Lung Nodule Detection—0
An Efficient Approach to Detecting Lung Nodules Using Swin Transformer—0
A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans—0
AI-based software for lung nodule detection in chest X-rays -- Time for a second reader approach?—0
An Efficient and Robust Method for Chest X-Ray Rib Suppression that Improves Pulmonary Abnormality Diagnosis—0
A Residual Multi-task Network for Joint Classification and Regression in Medical Imaging—0
AttentNet: Fully Convolutional 3D Attention for Lung Nodule Detection—0
Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images—0
Swin-Tempo: Temporal-Aware Lung Nodule Detection in CT Scans as Video Sequences Using Swin Transformer-Enhanced UNet—0
Towards automatic pulmonary nodule management in lung cancer screening with deep learning—0
Unsupervised Contrastive Learning based Transformer for Lung Nodule Detection—0
Unsupervised Detection of Lung Nodules in Chest Radiography Using Generative Adversarial Networks—0
Two-Stage Convolutional Neural Network Architecture for Lung Nodule Detection—0
Lung-DETR: Deformable Detection Transformer for Sparse Lung Nodule Anomaly Detection—0
Lung Nodules Detection and Segmentation Using 3D Mask-RCNN—0
MEDS-Net: Self-Distilled Multi-Encoders Network with Bi-Direction Maximum Intensity projections for Lung Nodule Detection—0
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All datasetsLUNA2016 FPREDLIDC-IDRI

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Semantic GenesisAUC98.47—Unverified
2ModelGenesisAUC98.2—Unverified
#ModelMetricClaimedVerifiedStatus
1I3DR-NetAUC81.84—Unverified