Pulmonary Embolism Detection
3 papers with code • 1 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Pulmonary Embolism Detection
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Latest papers with no code
Deep learning in computed tomography pulmonary angiography imaging: a dual-pronged approach for pulmonary embolism detection
The increasing reliance on Computed Tomography Pulmonary Angiography (CTPA) for Pulmonary Embolism (PE) diagnosis presents challenges and a pressing need for improved diagnostic solutions.
Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms
Pulmonary Embolisms (PE) represent a leading cause of cardiovascular death.
Detecting Pulmonary Embolism from Computed Tomography Using Convolutional Neural Network
The clinical symptoms of pulmonary embolism (PE) are very diverse and non-specific, which makes it difficult to diagnose.
Convolutional Neural Network for Early Pulmonary Embolism Detection via Computed Tomography Pulmonary Angiography
This study was conducted to develop a computer-aided detection (CAD) system for triaging patients with pulmonary embolism (PE).
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR
Despite the routine use of electronic health record (EHR) data by radiologists to contextualize clinical history and inform image interpretation, the majority of deep learning architectures for medical imaging are unimodal, i. e., they only learn features from pixel-level information.
Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network
We have evaluated our approach using the 20 CTPA test dataset from the PE challenge, achieving a sensitivity of 78. 9%, 80. 7% and 80. 7% at 2 false positives per volume at 0mm, 2mm and 5mm localization error, which is superior to the state-of-the-art methods.
Pi-PE: A Pipeline for Pulmonary Embolism Detection using Sparsely Annotated 3D CT Images
Pulmonary embolisms (PE) are known to be one of the leading causes for cardiac-related mortality.
