Efficient Surgical Tool Recognition via HMM-Stabilized Deep Learning

arXiv:2404.04992v1 Announce Type: new
Abstract: Recognizing various surgical tools, actions and phases from surgery videos is an important problem in computer vision with exciting clinical applications. Existing deep-learning-based methods for this problem either process each surgical video as a series of independent images without considering their dependence, or rely on complicated deep learning models to count for dependence of video frames. In this study, we revealed from exploratory data analysis that surgical videos enjoy relatively simple semantic structure, where the …

abstract applications arxiv clinical computer computer vision cs.cv deep learning images independent process recognition series stat.ap surgery tool tools type via video videos vision