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Lung Nodule Detection

Papers

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Showing 1–50 of 59 papers

TitleStatusHype
Improving Representation of High-frequency Components for Medical Visual Foundation ModelsCode1
AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan DatasetsCode1
A systematic approach to deep learning-based nodule detection in chest radiographsCode1
Specialty-Oriented Generalist Medical AI for Chest CT ScreeningCode1
SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points MatchingCode1
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restorationCode1
Lung nodule detection and classification from Thorax CT-scan using RetinaNet with transfer learningCode1
Models Genesis: Generic Autodidactic Models for 3D Medical Image AnalysisCode1
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
AttentNet: Fully Convolutional 3D Attention for Lung Nodule Detection—0
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
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
Dual Skip Connections Minimize the False Positive Rate of Lung Nodule Detection in CT images—0
CT-SGAN: Computed Tomography Synthesis GAN—0
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation—0
Unsupervised Detection of Lung Nodules in Chest Radiography Using Generative Adversarial Networks—0
End-to-end lung nodule detection framework with model-based feature projection block—0
Exploring Instance-Level Uncertainty for Medical Detection—0
Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images—0
Nodule2vec: a 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation—0
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection—0
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks—0
Deep convolutional neural networks for multi-planar lung nodule detection: improvement in small nodule identification—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
Lung Nodules Detection and Segmentation Using 3D Mask-RCNN—0
Two-Stage Convolutional Neural Network Architecture for Lung Nodule Detection—0
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection—0
DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder Convolutional Neural Networks for Pulmonary Nodule DetectionCode0
Deep Learning for Automated Medical Image Analysis—0
A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans—0
Crowdsourcing Lung Nodules Detection and Annotation—0
CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance—0
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All datasetsLUNA2016 FPREDLIDC-IDRI

Benchmark Results

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