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Lung Nodule Detection

Papers

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Showing 26–50 of 59 papers

TitleStatusHype
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