论文标题
用于肺超声视频自动分析的软件包
Software Package for Automated Analysis of Lung Ultrasound Videos
论文作者
论文摘要
最近，随着Covid-19感染的快速激增，肺部超声已成为一种快速而强大的诊断工具，尤其是用于肺部的连续和周期性监测。有许多尝试对肺部关键地标进行严重性分类，细分和检测的尝试。为了利用进度，这项工作中介绍了一个自动肺超声视频分析包，该软件可以提供视频中的关键框架，标记带有肺部感染的关键框架以及以自动检测和分段肺部标志的选项。集成软件包将作为开源Web应用程序实现，并在链接https://github.com/anitoanto/alus-package中提供。
In the recent past with the rapid surge of COVID-19 infections, lung ultrasound has emerged as a fast and powerful diagnostic tool particularly for continuous and periodic monitoring of the lung. There have been many attempts towards severity classification, segmentation and detection of key landmarks in the lung. Leveraging the progress, an automated lung ultrasound video analysis package is presented in this work, which can provide summary of key frames in the video, flagging of the key frames with lung infection and options to automatically detect and segment the lung landmarks. The integrated package is implemented as an open-source web application and available in the link https://github.com/anitoanto/alus-package.
