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GTCreator:一个用于基于图像数据集的灵活标注工具。

GTCreator: a flexible annotation tool for image-based datasets.

机构信息

Computer Vision Center and Universitat Autonòma de Barcelona, Barcelona, Spain.

ETIS lab, ENSEA, CNRS, University of Cergy-Pontoise, Cergy, France.

出版信息

Int J Comput Assist Radiol Surg. 2019 Feb;14(2):191-201. doi: 10.1007/s11548-018-1864-x. Epub 2018 Sep 25.

Abstract

PURPOSE

Methodology evaluation for decision support systems for health is a time-consuming task. To assess performance of polyp detection methods in colonoscopy videos, clinicians have to deal with the annotation of thousands of images. Current existing tools could be improved in terms of flexibility and ease of use.

METHODS

We introduce GTCreator, a flexible annotation tool for providing image and text annotations to image-based datasets. It keeps the main basic functionalities of other similar tools while extending other capabilities such as allowing multiple annotators to work simultaneously on the same task or enhanced dataset browsing and easy annotation transfer aiming to speed up annotation processes in large datasets.

RESULTS

The comparison with other similar tools shows that GTCreator allows to obtain fast and precise annotation of image datasets, being the only one which offers full annotation editing and browsing capabilites.

CONCLUSION

Our proposed annotation tool has been proven to be efficient for large image dataset annotation, as well as showing potential of use in other stages of method evaluation such as experimental setup or results analysis.

摘要

目的

医学决策支持系统的方法学评估是一项耗时的任务。为了评估结肠镜检查视频中息肉检测方法的性能,临床医生必须处理数千张图像的注释。当前现有的工具在灵活性和易用性方面可以得到改进。

方法

我们引入了 GTCreator,这是一种用于为基于图像的数据集提供图像和文本注释的灵活注释工具。它保留了其他类似工具的主要基本功能,同时扩展了其他功能,例如允许多个注释者同时处理同一任务,或增强数据集浏览和轻松注释转移,旨在加快大数据集中的注释过程。

结果

与其他类似工具的比较表明,GTCreator 允许快速准确地注释图像数据集,是唯一提供完整注释编辑和浏览功能的工具。

结论

我们提出的注释工具已被证明在大型图像数据集注释中非常有效,并且在方法评估的其他阶段(如实验设置或结果分析)也具有潜在的用途。

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