DP2: Distributed 3D image segmentation using micro-labor workforce
DP2: Distributed 3D image segmentation using micro-labor workforce
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DOI：
10.1093/bioinformatics/btt154
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发表时间：
2013-05-15
期刊：
影响因子：
5.8
通讯作者：
Ellisman, Mark H.
中科院分区：
文献类型：
--
作者：
Giuly, Richard J.;Kim, Keun-Young;Ellisman, Mark H.
本应用笔记介绍了一种新的可扩展半自动方法，即双点决策过程，用于分割3D显微镜中包含的3D结构。分割问题被分配给许多个体工人，使得每个工人仅接收关于图像中的两个点是否被放置在同一对象上的简单问题。通过亚马逊的土耳其机器人系统，大量的微型劳动力可以以可扩展的方式提供劳动力。
This application note describes a new scalable semi-automatic approach, the Dual Point Decision Process, for segmentation of 3D structures contained in 3D microscopy. The segmentation problem is distributed to many individual workers such that each receives only simple questions regarding whether two points in an image are placed on the same object. A large pool of micro-labor workers available through Amazon's Mechanical Turk system provides the labor in a scalable manner.