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Structured Reasoning Agentic Framework for Interpretable Critical View of Safety Assessment

Paper recorded by Signals 4 on 2026-09-25 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-25 on arXiv · recorded by Signals 4 on 2026-09-28

Category: cs.CV · 计算机视觉 · first seen 2026-09-28

Abstract

Surgical scene understanding is critical for computer-assisted intervention, yet laparoscopic cholecystectomy remains challenged by the complex anatomy of the hepatocystic triangle and the risk of bile duct injury. Existing methods for Critical View of Safety (CVS) assessment typically treat it as a holistic prediction task, mapping visual features directly to criterion-level labels. This black-bo

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#21 most recent of 342 cs.CV papers we have recorded · ↑ newer: Region-Level Black-Box Defense Against Stealthy Embedding-Space Backdo · ↓ older: Forensic Twins: Self-Supervised Residual Learning for AI-Generated Ima
Cite this page: Structured Reasoning Agentic Framework for Interpretable Critical View of Safety Assessment: the #21 most recent of 342 cs.CV papers we have recorded (as of 2026-09-25). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/structured-reasoning-agentic-framework-for-interpretable-critical-view-of-safety.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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