Hard frame detection for the automated clipping of surgical nasal endoscopic video.

Hongyu WangXiaoying PanHao ZhaoCong GaoNi Liu

Published in: International journal of computer assisted radiology and surgery (2021)

HFD-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.

Keyphrases

ultrasound guided
machine learning
deep learning
loop mediated isothermal amplification
real time pcr
label free
mental health
chronic rhinosinusitis
high fat diet
high throughput
type diabetes
adipose tissue
skeletal muscle