five

QuantLUS - CPS v1.0

收藏
DataCite Commons2020-09-20 更新2025-04-17 收录
下载链接:
https://data.bris.ac.uk/data/dataset/z47pfkwqivfj2d0qhyq7v3u1i/
下载链接
链接失效反馈
官方服务:
资源简介:
This source code package includes the MATLAB source codes for implementing a novel method for line artefacts quantification in lung ultrasound (LUS) images of COVID-19 patients. The method is formulated as a non-convex regularisation problem involving a sparsity-enforcing, Cauchy-based penalty function, and the inverse Radon transform. Moreover, a simple local maxima detection technique in the Radon transform domain, associated with known clinical definitions of line artefacts, is employed. The method accurately identifies both horizontal and vertical line artefacts in LUS images. In order to reduce the number of false and missed detection, the method includes a two-stage validation mechanism, which is performed in both Radon and image domains.
提供机构:
University of Bristol
创建时间:
2020-06-12
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作