SOTAVerified

Pulmonary Embolism Detection

Papers

Showing 110 of 11 papers

TitleStatusHype
Deep learning in computed tomography pulmonary angiography imaging: a dual-pronged approach for pulmonary embolism detection0
PECon: Contrastive Pretraining to Enhance Feature Alignment between CT and EHR Data for Improved Pulmonary Embolism DiagnosisCode0
Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms0
Detecting Pulmonary Embolism from Computed Tomography Using Convolutional Neural Network0
Convolutional Neural Network for Early Pulmonary Embolism Detection via Computed Tomography Pulmonary Angiography0
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR0
Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network0
Estimating Total Lung Volume from Pixel-level Thickness Maps of Chest Radiographs Using Deep LearningCode0
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism DetectionCode1
Pi-PE: A Pipeline for Pulmonary Embolism Detection using Sparsely Annotated 3D CT Images0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ModelGenesisAUC88.04Unverified