PE-DeepNet: A deep neural network model for pulmonary embolism detection
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Signal Processing,Computer Networks and Communications,Artificial Intelligence
Reference21 articles.
1. Deep learning for pulmonary embolism detection on computed tomography pulmonary angiogram: a systematic review and meta-analysis;Soffer;Sci. Rep.,2021
2. Predicting pulmonary embolism among hospitalized patients with machine learning algorithms;Ryan;Pulm. Circ.,2022
3. Automated detection of pulmonary embolism from CT-angiograms using deep learning;Huhtanen;BMC Med. Imag.,2022
4. The prediction of the risk level of pulmonary embolism and deep vein thrombosis through artificial neural network;Agharezaei;Acta Inf. Med.,2016
5. Detecting pulmonary embolism using deep neural networks;Akilandeswari;Int. J. Perform. Eng.,2021
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