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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
Chapters
- 00:01Title
- 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
Para determinar con exactitud la línea media y cambio automático de la presión intracraneal (PIC) pre-screening sistema basado en la tomografía computarizada (TC) para los pacientes con lesión cerebral traumática (TBI) se propuso la utilización de procesamiento de imágenes y técnicas de aprendizaje automático.
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
