Surgment: Segmentation-enabled Semantic Search and Creation of Visual Question and Feedback to Support Video-Based Surgery Learning-Reference-Cited by-同舟云学术

Surgment: Segmentation-enabled Semantic Search and Creation of Visual Question and Feedback to Support Video-Based Surgery Learning

Published:2024-05-11 Issue: Volume:6 Page:1-18
ISSN:
Container-title:Proceedings of the CHI Conference on Human Factors in Computing Systems
language:
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Author:

Wang Jingying¹^ORCID,Tang Haoran¹^ORCID,Kantor Taylor²^ORCID,Soltani Tandis²^ORCID,Popov Vitaliy²^ORCID,Wang Xu¹^ORCID

Affiliation:

1. Computer Science and Engineering, University of Michigan, United States

2. Medical School, University of Michigan, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613904.3642587

Reference107 articles.

1. Do You See What I See? How We Use Video as an Adjunct to General Surgery Resident Education

2. Is Video-Based Education an Effective Method in Surgical Education? A Systematic Review

3. Knut Magne Augestad, Khayam Butt, Dejan Ignjatovic, Deborah S Keller, and Ravi Kiran. 2020. Video-based coaching in surgical education: a systematic review and meta-analysis. Surgical endoscopy 34 (2020), 521–535.

4. Video-based coaching in surgical education: a systematic review and meta-analysis

5. Surgical Video Summarization

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1. Improving Surgical Scene Semantic Segmentation through a Deep Learning Architecture with Attention to Class Imbalance;Biomedicines;2024-06-13

2. Looking Together ≠ Seeing the Same Thing: Understanding Surgeons' Visual Needs During Intra-operative Coordination and Instruction;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11