# Vertebral body segmentation with GrowCut: Initial experience, workflow and practical application

arXiv: https://arxiv.org/abs/1711.04592 · HTML: https://mlsanity.com/paper/1711.04592/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 13 Nov 2017.

## Built on by (most cited first, 1 of 1)

- [Machine-agnostic Automated Lumbar MRI Segmentation using a Cascaded Model Based on Generative Neurons](https://mlsanity.com/paper/2411.15656/) (2024)

## Abstract (arXiv)

In this contribution, we used the GrowCut segmentation algorithm publicly available in three-dimensional Slicer for three-dimensional segmentation of vertebral bodies. To the best of our knowledge, this is the first time that the GrowCut method has been studied for the usage of vertebral body segmentation. In brief, we found that the GrowCut segmentation times were consistently less than the manual segmentation times. Hence, GrowCut provides an alternative to a manual slice-by-slice segmentation process.