A Fully Automated Pipeline Using Swin Transformers for Deep Learning-Based Blood Segmentation on Head Computed Tomography Scans After Aneurysmal Subarachnoid Hemorrhage-Reference-Cited by-同舟云学术

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A Fully Automated Pipeline Using Swin Transformers for Deep Learning-Based Blood Segmentation on Head Computed Tomography Scans After Aneurysmal Subarachnoid Hemorrhage

Published:2024-08 Issue: Volume: Page:
ISSN:1878-8750
Container-title:World Neurosurgery
language:en
Short-container-title:World Neurosurgery

Author:

García-García Sergio^ORCID,Cepeda Santiago^ORCID,Arrese Ignacio,Sarabia Rosario^ORCID

Publisher

Elsevier BV

Reference46 articles.

1. Subarachnoid haemorrhage;Al-Shahi;BMJ,2006

2. Time trends in outcome of subarachnoid hemorrhage: population-based study and systematic review;Lovelock;Neurology,2010

3. Changes in case fatality of aneurysmal subarachnoid haemorrhage over time, according to age, sex, and region: a meta-analysis;Nieuwkamp;Lancet Neurol,2009

4. Predictors of in-hospital death after aneurysmal subarachnoid hemorrhage: analysis of a nationwide database (Swiss SOS [Swiss study on aneurysmal subarachnoid hemorrhage]);Stienen;Stroke,2018

5. Clinical outcome prediction in aneurysmal subarachnoid hemorrhage using Bayesian neural networks with fuzzy logic inferences;Lo;Comput Math Methods Med,2013

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