EXACT：一个协作工具集，用于算法辅助的图像注释，具有注释版本控制
EXACT: A collaboration toolset for algorithm-aided annotation of images with annotation version control
摘要：
在许多研究领域，多学科获取图像数据及其跨学科注释加速了科学进步。然而，跟踪这些注释以确保高质量的多用途数据集是一项具有挑战性和劳动密集型的任务。我们开发了开源在线平台EXACT（EXpert算法协作工具），可以在线和离线对来自不同领域的图像进行跨学科的协作分析。EXACT支持数十亿像素的医学整张切片图像以及包含数千张图像的图像系列。该软件采用灵活的插件系统，可适应各种应用，例如使用筛选模式计数有丝分裂图，在新的验证视图上查找错误注释，或使用最新的深度学习图像分析技术。这与版本控制系统相结合，该系统可以跟踪数据集的变化，例如将深度学习实验的结果与特定的数据集版本相关联。EXACT是免费提供的，并已成功应用于广泛的注释任务，包括高度多样化的应用程序，如深度学习支持的细胞学评分，跨学科多中心全载玻片图像肿瘤注释，以及高度专业化的鲸声光谱聚类。
英文摘要：
In many research areas, scientific progress is accelerated by multidisciplinary access to image data and their interdisciplinary annotation. However, keeping track of these annotations to ensure a high-quality multi-purpose data set is a challenging and labour intensive task. We developed the open-source online platform EXACT (EXpert Algorithm Collaboration Tool) that enables the collaborative interdisciplinary analysis of images from different domains online and offline. EXACT supports multi-gigapixel medical whole slide images as well as image series with thousands of images. The software utilises a flexible plugin system that can be adapted to diverse applications such as counting mitotic figures with a screening mode, finding false annotations on a novel validation view, or using the latest deep learning image analysis technologies. This is combined with a version control system which makes it possible to keep track of changes in the data sets and, for example, to link the results of deep learning experiments to specific data set versions. EXACT is freely available and has already been successfully applied to a broad range of annotation tasks, including highly diverse applications like deep learning supported cytology scoring, interdisciplinary multi-centre whole slide image tumour annotation, and highly specialised whale sound spectroscopy clustering.
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