计算机科学
计算机视觉
边距(机器学习)
人工智能
一致性(知识库)
镊子
均方误差
职位(财务)
玻璃体视网膜手术
机器人
外科
医学
眼科
数学
视网膜脱离
机器学习
统计
经济
视网膜
财务
作者
Jeremy Birch,Lyndon da Cruz,Kawal Rhode,Christos Bergeles
标识
DOI:10.1007/s11548-023-02987-y
摘要
The proposed camera-based trocar localisation presents reasonable consistency and accuracy and shows improved results compared to other current methods. Optimum accuracy for this application would necessitate a 1.4 mm absolute error margin, which corresponds to the trocar's radius. The trocar localisation results are successfully found within this margin, yet the marker localisation would require further refinement to ensure consistency of localisation within the error margin. Further work will refine these position estimates and ensure the error stays consistently within this boundary.
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