Hard frame detection for the automated clipping of surgical nasal endoscopic video
ConclusionHFD-ConvLSTM provides a new paradigm for video clipping by breaking the complex clipping problem into smaller, more easily managed 2-classification problems. Our investigation reveals that the hard framed detection based on blurring score calculation is effective for nasal endoscopic video clipping.
Source: International Journal of Computer Assisted Radiology and Surgery - Category: Intensive Care Source Type: research
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