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Lung Nodule Detection

Papers

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Showing 1–25 of 59 papers

TitleStatusHype
Lung Nodule-SSM: Self-Supervised Lung Nodule Detection and Classification in Thoracic CT ImagesCode0
CPLOYO: A Pulmonary Nodule Detection Model with Multi-Scale Feature Fusion and Nonlinear Feature Learning—0
An Efficient Approach to Detecting Lung Nodules Using Swin Transformer—0
A Residual Multi-task Network for Joint Classification and Regression in Medical Imaging—0
Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation—0
Lung-DETR: Deformable Detection Transformer for Sparse Lung Nodule Anomaly Detection—0
Domain Adaptive Lung Nodule Detection in X-ray Image—0
Improving Representation of High-frequency Components for Medical Visual Foundation ModelsCode1
AttentNet: Fully Convolutional 3D Attention for Lung Nodule Detection—0
AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan DatasetsCode1
Improved Focus on Hard Samples for Lung Nodule Detection—0
EXACT-Net:EHR-guided lung tumor auto-segmentation for non-small cell lung cancer radiotherapy—0
Swin-Tempo: Temporal-Aware Lung Nodule Detection in CT Scans as Video Sequences Using Swin Transformer-Enhanced UNet—0
A systematic approach to deep learning-based nodule detection in chest radiographsCode1
Specialty-Oriented Generalist Medical AI for Chest CT ScreeningCode1
An Efficient and Robust Method for Chest X-Ray Rib Suppression that Improves Pulmonary Abnormality Diagnosis—0
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering—0
MEDS-Net: Self-Distilled Multi-Encoders Network with Bi-Direction Maximum Intensity projections for Lung Nodule Detection—0
Image Synthesis with Disentangled Attributes for Chest X-Ray Nodule Augmentation and Detection—0
Multi-Task Lung Nodule Detection in Chest Radiographs with a Dual Head Network—0
AI-based software for lung nodule detection in chest X-rays -- Time for a second reader approach?—0
Unsupervised Contrastive Learning based Transformer for Lung Nodule Detection—0
X-ray Dissectography Improves Lung Nodule Detection—0
Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection—0
Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition CharacteristicsCode0
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All datasetsLUNA2016 FPREDLIDC-IDRI

Benchmark Results

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