Fully automated detection and segmentation of intracranial aneurysms in subarachnoid hemorrhage on CTA using deep learning

Fully automated detection and segmentation of intracranial aneurysms in subarachnoid hemorrhage on CTA using deep learning

Abstract In aneurysmal subarachnoid hemorrhage (aSAH), accurate diagnosis of aneurysm is essential for subsequent treatment to prevent rebleeding. However, aneurysm detection proves to be challenging and time-consuming. The purpose of this study was to develop and evaluate a deep learning model (DLM...

Full description

Bibliographic Details
Main Authors: Rahil Shahzad, Lenhard Pennig, Lukas Goertz, Frank Thiele, Christoph Kabbasch, Marc Schlamann, Boris Krischek, David Maintz, Michael Perkuhn, Jan Borggrefe
Format: Article
Language:English
Published: Nature Publishing Group 2020-12-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-020-78384-1

Internet

https://doi.org/10.1038/s41598-020-78384-1

Similar Items