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This study compares various segmentation techniques for analyzing fetal cardiac cine loop sequences obtained through ultrasound imaging. It proposes a fully automated methodology for preprocessing and segmentation, ultimately measuring left and right ventricle ratios to assess fetal cardiac health. The effectiveness of different techniques, including wavelet transforms and clustering methods, is evaluated using fidelity metrics against expert-selected frames.

Author

SHARMILA C

Language

EN