Artificial Intelligence Application to Screen Abdominal Aortic Aneurysm Using Computed tomography Angiography

The aim of our study is to validate a totally automated deep learning (DL)-based segmentation pipeline to screen abdominal aortic aneurysms (AAA) in computed tomography angiography (CTA) scans. We retrospectively evaluated 73 thoraco-abdominal CTAs (48 AAA and 25 control CTA) by means of a DL-based...

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Veröffentlicht in:	Journal of digital imaging 2023-10, Vol.36 (5), p.2125-2137
Hauptverfasser:	Spinella, Giovanni, Fantazzini, Alice, Finotello, Alice, Vincenzi, Elena, Boschetti, Gian Antonio, Brutti, Francesca, Magliocco, Marco, Pane, Bianca, Basso, Curzio, Conti, Michele
Format:	Artikel
Sprache:	eng
Schlagworte:	Abdomen Aneurysms Angiography Aorta Aortic aneurysms Artificial intelligence Artificial neural networks Automation Computed tomography Deep learning Diameters Image segmentation Imaging Machine learning Medical imaging Medicine Medicine & Public Health Neural networks Radiology Thrombosis Tomography
Online-Zugang:	Volltext
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