Optimizing Latent Graph Representations of Surgical Scenes for Zero-Shot Domain Transfer

arXiv:2403.06953v1 Announce Type: new
Abstract: Purpose: Advances in deep learning have resulted in effective models for surgical video analysis; however, these models often fail to generalize across medical centers due to domain shift caused by variations in surgical workflow, camera setups, and patient demographics. Recently, object-centric learning has emerged as a promising approach for improved surgical scene understanding, capturing and disentangling visual and semantic properties of surgical tools and anatomy to improve downstream task performance. In this work, we conduct …

abstract advances analysis arxiv cs.cv deep learning demographics domain graph however medical object patient shift transfer type video video analysis workflow zero-shot