论文标题
SpinEnetv2：临床MR扫描的自动检测，标记和放射学分级
SpineNetV2: Automated Detection, Labelling and Radiological Grading Of Clinical MR Scans
论文作者
论文摘要
该技术报告介绍了SpinEnetv2，这是一种自动化工具：（i）检测和标记临床脊柱磁共振（MR）扫描中的椎体跨一系列常用序列； （ii）对T2加权扫描中的腰椎椎间盘进行放射学分级，以进行一系列常见的退行性变化。 SpinEnetV2通过两种方式改进了原始的SpineNet软件：（1）椎体检测阶段的速度明显更快，更准确，并且在各种视野中工作（与仅腰部扫描相反）。 （2）放射学分级采用了更强大的体系结构，添加了几个新的分级方案而不会损失性能。该软件的演示可以在项目网站上获得：http：//zeus.robots.ox.ac.uk/spinenet2/。
This technical report presents SpineNetV2, an automated tool which: (i) detects and labels vertebral bodies in clinical spinal magnetic resonance (MR) scans across a range of commonly used sequences; and (ii) performs radiological grading of lumbar intervertebral discs in T2-weighted scans for a range of common degenerative changes. SpineNetV2 improves over the original SpineNet software in two ways: (1) The vertebral body detection stage is significantly faster, more accurate and works across a range of fields-of-view (as opposed to just lumbar scans). (2) Radiological grading adopts a more powerful architecture, adding several new grading schemes without loss in performance. A demo of the software is available at the project website: http://zeus.robots.ox.ac.uk/spinenet2/.
