An automated pipeline segments the MitraClip in 3D transesophageal echocardiography, classifies its opening angle into ten configurations, and refines the result with CAD template registration, achieving 0.75 mm average surface distance and 0.74 weighted F1 on a simulator test set.
Efficient catheter segmentation in 3d cardiac ultrasound using slice-based fcn with deep supervision and f-score loss,
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MitraClip Device Automated Localization in 3D Transesophageal Echocardiography via Deep Learning
An automated pipeline segments the MitraClip in 3D transesophageal echocardiography, classifies its opening angle into ten configurations, and refines the result with CAD template registration, achieving 0.75 mm average surface distance and 0.74 weighted F1 on a simulator test set.