SOTAVerified

Pulmonary Embolism Detection

Papers

Showing 1–10 of 11 papers

TitleStatusHype
Deep learning in computed tomography pulmonary angiography imaging: a dual-pronged approach for pulmonary embolism detection—0
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 angiograms—0
Detecting Pulmonary Embolism from Computed Tomography Using Convolutional Neural Network—0
Convolutional Neural Network for Early Pulmonary Embolism Detection via Computed Tomography Pulmonary Angiography—0
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR—0
Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network—0
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 Images—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ModelGenesisAUC88.04—Unverified