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In this paper we introduce the Ladder Algorithm; a novel recurrent algorithmto detect repetitive structures in natural images with high accuracy usinglittle training data.  We then demonstrate the algorithm on the task of extracting vertebrae fromwhole spine magnetic resonance scans with only lumbar MR scans for trainingdata. It is shown to achieve high perforamance with 99.8% precision and recall,exceeding current state of the art approaches for lumbar vertebrae detection inT1 and T2 weighted scans. It also generalises without retraining to whole spineimages with minimal drop in accuracy, achieving 99.4% detection rate.

The Ladder Algorithm: Finding Repetitive Structures in Medical Images by Induction