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1Department of Biostatistics,Virginia Commonwealth University, 2Virginia Commonwealth University Reanimation Engineering Science (VCURES) Center, 3Department of Computer Science,Virginia Commonwealth University, 4Department of Radiology,Virginia Commonwealth University, 5Department of Emergency Medicine,Virginia Commonwealth University
Capítulos
- 00:01Título
- 00:11Introduction
- 02:03Ideal Midline Estimation
- 05:45Ventricle Segmentation
- 08:00Actual Midline Estimation
- 10:01More Feature Extractions
- 11:15ICP Prediction
- 12:31Representative Results
- 13:30Discussion
Une estimation médiane automatisé changement et de la pression intracrânienne (PIC) de présélection système basé sur la tomodensitométrie (TDM) images pour les patients présentant une lésion cérébrale traumatique (TBI) est proposé d'utiliser le traitement d'images et de techniques d'apprentissage automatique.
Tags
Automated SystemComputed Tomography (CT) ImagesMidline Shift EstimationIntracranial Pressure (ICP) Pre-screeningSegmentationVentriclesShape MatchingMeasuring ProcessTexture InformationBlood AmountMachine Learning TechniquesFeature SelectionSupport Vector Machines (SVMs)Prediction ModelEvaluationFast Pre-screening StepInvasive ICP Monitoring
