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Automatic Cardiac Segmentation Using Triangle and Optical Flow
Indonesian Journal of Electrical Engineering and Computer Science
Cardiac function assessment plays an important role in daily cardiology and ultrasound. Full automatic cardiac segmentation is a challenging study because cardiac ultrasound imaging has low contrast and irregular moves. In this research, full automatic cardiac segmentation for cardiac diseases is presented. The technique used Initial Center Boundary, Pre-processing, Triangle Segmentation and Optical Flow. The first step is determining the initial center boundary. The second step is usingdoi:10.11591/ijeecs.v8.i2.pp315-326 fatcat:xhtnbwcinfcxhnvhgcvrf4w4qy