6 papers
SCISSR: Scribble-Conditioned Interactive Surgical Segmentation and Refinement
Haonan Ping, Jian Jiang, Cheng Yuan +3
Accurate segmentation of tissues and instruments in surgical scenes is annotation-intensive due to irregular shapes, thin structures, specularities, and frequent occlusions. While…
Surg-R1: A Hierarchical Reasoning Foundation Model for Scalable and Interpretable Surgical Decision Support with Multi-Center Clinical Validation
Jian Jiang, Chenxi Lin, Yiming Gu +24
Surgical scene understanding demands not only accurate predictions but also interpretable reasoning that surgeons can verify against clinical expertise. However, existing surgical…
See in Depth: Training-Free Surgical Scene Segmentation with Monocular Depth Priors
Kunyi Yang, Qingyu Wang, Cheng Yuan +1
Pixel-wise segmentation of laparoscopic scenes is essential for computer-assisted surgery but difficult to scale due to the high cost of dense annotations. We propose depth-guided…
Systematic Evaluation and Guidelines for Segment Anything Model in Surgical Video Analysis
Cheng Yuan, Jian Jiang, Kunyi Yang +11
Surgical video segmentation is critical for AI to interpret spatial-temporal dynamics in surgery, yet model performance is constrained by limited annotated data. The SAM2 model, pr…
Temporal Propagation of Asymmetric Feature Pyramid for Surgical Scene Segmentation
Cheng Yuan, Yutong Ban
Surgical scene segmentation is crucial for robot-assisted laparoscopic surgery understanding. Current approaches face two challenges: (i) static image limitations including ambiguo…
Surgical Scene Segmentation by Transformer With Asymmetric Feature Enhancement
Cheng Yuan, Yutong Ban
Surgical scene segmentation is a fundamental task for robotic-assisted laparoscopic surgery understanding. It often contains various anatomical structures and surgical instruments,…