Automatic knowledge-based recognition of low-level tasks in ophthalmological procedures.
Abstract
PURPOSE: Surgical process models (SPMs) have recently been created for situation-aware computer-assisted systems in the operating room. One important challenge in this area is the automatic acquisition of SPMs. The purpose of this study is to present a new method for the automatic detection of low-level surgical tasks, that is, the sequence of activities in a surgical procedure, from microscope video images only. The level of granularity that we addressed in this work is symbolized by activities formalized by triplets
Domains
Life Sciences [q-bio] Neurons and Cognition [q-bio.NC] Life Sciences [q-bio] Bioengineering Computer Science [cs] Computer Vision and Pattern Recognition [cs.CV] Computer Science [cs] Medical Imaging Life Sciences [q-bio] Bioengineering Imaging Engineering Sciences [physics] Signal and Image processing Computer Science [cs] Signal and Image Processing
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