Leveraging open dataset and transfer learning for accurate recognition of chronic pulmonary embolism from CT angiogram maximum intensity projection images

Leveraging open dataset and transfer learning for accurate recognition of chronic pulmonary embolism from CT angiogram maximum intensity projection images

Abstract Background Early diagnosis of the potentially fatal but curable chronic pulmonary embolism (CPE) is challenging. We have developed and investigated a novel convolutional neural network (CNN) model to recognise CPE from CT pulmonary angiograms (CTPA) based on the general vascular morphology...

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Bibliographic Details
Main Authors: Tuomas Vainio, Teemu Mäkelä, Anssi Arkko, Sauli Savolainen, Marko Kangasniemi
Format: Article
Language:English
Published: SpringerOpen 2023-06-01
Series:European Radiology Experimental
Subjects:
Artificial intelligence
Computed tomography angiography
Deep learning
Neural networks (computer)
Pulmonary embolism
Online Access:https://doi.org/10.1186/s41747-023-00346-9

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