Validation of an automated ASPECTS method on non-contrast computed tomography scans of acute ischemic stroke patients.
Hulin KuangWu QiuMohamed NajmDariush DowlatshahiRobert MikulikAlex Y PoppeJosep PuigMar CastellanosSung I SohnSeong H AhnAna CallejaAlbert JinTalip AsilNegar AsdaghiThalia Shoshana FieldShelagh B CouttsMichael D HillAndrew M DemchukMayank GoyalBijoy K Menonnull nullPublished in: International journal of stroke : official journal of the International Stroke Society (2019)
The automated system we developed approached the stroke expert in performance when scoring ASPECTS on non-contrast computed tomography scans of acute ischemic stroke patients.
Keyphrases
- computed tomography
- acute ischemic stroke
- contrast enhanced
- positron emission tomography
- dual energy
- magnetic resonance imaging
- end stage renal disease
- magnetic resonance
- ejection fraction
- newly diagnosed
- atrial fibrillation
- image quality
- liver failure
- machine learning
- peritoneal dialysis
- prognostic factors
- deep learning
- high throughput
- clinical practice
- respiratory failure
- blood brain barrier
- brain injury
- drug induced
- extracorporeal membrane oxygenation