Tool Classifier

Tool classifiers are automated systems designed to identify and categorize tools within images or videos, primarily focusing on medical applications like minimally invasive surgery and cataract procedures. Current research emphasizes overcoming data limitations, employing techniques like weakly supervised learning and generative models (e.g., diffusion models) to augment scarce or imbalanced datasets. This work is significant because accurate tool classification is crucial for improving the analysis of surgical procedures, enabling the development of advanced computer-assisted surgery systems and ultimately enhancing patient care.

Papers