Beyond Instrument Motion: Recognizing Tissue Tension Toward Surgical Skill Assessment
Surgical performance assessment in minimally invasive surgery largely relies on manual expert review, making it time-consuming, subjective, and difficult to scale. While existing surgical video understanding methods address tasks such as instrument segmentation, surgical phase recognition, and action recognition, they do not explicitly capture fine-grained tissue handling, a key indicator of surgical quality. To address this gap, we introduce tissue tension recognition, a new clinically motivated video understanding task for laparoscopic and robot-assisted rectal cancer surgery. To support thi
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- PossiblePossibly related (embedding) · 49%Artificial Intelligence (AI)-Enhanced Surgical Video - openPR.com →
- FuzzyOverlapping authors or contributors · 62%mudler/LocalAI →
“Shared author/contributor keys: guo”
- LinkedLinked via arxiv author · 85%Marko Haralovi →
“Beyond Instrument Motion: Recognizing Tissue Tension Toward Surgical Skill Assessment”
- LinkedLinked via arxiv author · 85%Zhiqi Miao →
“Beyond Instrument Motion: Recognizing Tissue Tension Toward Surgical Skill Assessment”
- LinkedLinked via arxiv author · 85%Alexander Machiel Bont →
“Beyond Instrument Motion: Recognizing Tissue Tension Toward Surgical Skill Assessment”
- LinkedLinked via arxiv author · 85%Jiapan Guo →
“Beyond Instrument Motion: Recognizing Tissue Tension Toward Surgical Skill Assessment”
- LinkedLinked via arxiv author · 85%Frans van Workum →
“Beyond Instrument Motion: Recognizing Tissue Tension Toward Surgical Skill Assessment”
