论文标题
梯子算法：通过诱导查找医学图像中的重复结构
The Ladder Algorithm: Finding Repetitive Structures in Medical Images by Induction
论文作者
论文摘要
在本文中，我们介绍了梯子算法；一种新型的复发算法，用于使用少量训练数据来检测具有高精度的自然图像中的重复结构。 然后，我们证明了从全脊柱磁共振扫描中提取椎骨的任务的算法，仅使用腰椎MR扫描以进行训练数据。证明它可以以99.8％的精度和召回率达到高孔隙率，超过了T1和T2加权扫描中腰椎检测的当前状态。它还概括了不重新训练的整个脊柱图像，其准确性下降最小，可达到99.4％的检测率。
In this paper we introduce the Ladder Algorithm; a novel recurrent algorithm to detect repetitive structures in natural images with high accuracy using little training data. We then demonstrate the algorithm on the task of extracting vertebrae from whole spine magnetic resonance scans with only lumbar MR scans for training data. It is shown to achieve high perforamance with 99.8% precision and recall, exceeding current state of the art approaches for lumbar vertebrae detection in T1 and T2 weighted scans. It also generalises without retraining to whole spine images with minimal drop in accuracy, achieving 99.4% detection rate.
