Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke.
Gianluca BrugnaraMichael BaumgartnerEdwin D. ScholzeKaterina Deike-HofmannKlaus KadesJonas SchererStefan DennerHagen MeredigAditya RastogiMustafa A. MahmutogluChristian UlfertUlf NeubergerSilvia SchönenbergerKai SchlampZeynep BendellaThomas PinetzCarsten SchmeelWolfgang WickPeter A. RinglebRalf FlocaMarkus MöhlenbruchAlexander RadbruchMartin BendszusKlaus H. Maier-HeinPhilipp VollmuthPublished in: Bildverarbeitung für die Medizin (2024)
Keyphrases
- ischemic stroke
- deep learning
- x ray
- computed tomography angiography
- intravascular ultrasound
- unsupervised learning
- coronary artery disease
- computer vision
- coronary artery
- unsupervised feature learning
- machine learning
- health care
- medical images
- decision support system
- ct data
- computer tomography
- partial occlusion
- object detection
- information systems
- clinical practice
- graph cuts
- ct scans
- computed tomography
- clinical setting
- clinical practice guidelines
- ct images
- medical imaging