# TomoSAM: a 3D Slicer extension using SAM for tomography segmentation

arXiv: https://arxiv.org/abs/2306.08609 · HTML: https://mlsanity.com/paper/2306.08609/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- Builds on 4 of its 16 references that are in the map.
- First posted on arXiv 14 Jun 2023.

## Builds on (most cited first, 4 of 4)

- [An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale](https://mlsanity.com/paper/2010.11929/) (2020)
- [Segment Anything](https://mlsanity.com/paper/2304.02643/) (2023)
- [Masked Autoencoders Are Scalable Vision Learners](https://mlsanity.com/paper/2111.06377/) (2021)
- [SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAM](https://mlsanity.com/paper/2304.05622/) (2023)

## Built on by (most cited first, 5 of 5)

- [Foundation Models for Biomedical Image Segmentation: A Survey](https://mlsanity.com/paper/2401.07654/) (2024)
- [Industrial Segment Anything -- a Case Study in Aircraft Manufacturing, Intralogistics, Maintenance, Repair, and Overhaul](https://mlsanity.com/paper/2307.12674/) (2023)
- [SAM & SAM 2 in 3D Slicer: SegmentWithSAM Extension for Annotating Medical Images](https://mlsanity.com/paper/2408.15224/) (2024)
- [arcjetCV: an open-source software to analyze material ablation](https://mlsanity.com/paper/2404.11492/) (2024)
- [Intraoperative Glioma Segmentation with YOLO + SAM for Improved Accuracy in Tumor Resection](https://mlsanity.com/paper/2408.14847/) (2024)

## Abstract (arXiv)

TomoSAM has been developed to integrate the cutting-edge Segment Anything Model (SAM) into 3D Slicer, a highly capable software platform used for 3D image processing and visualization. SAM is a promptable deep learning model that is able to identify objects and create image masks in a zero-shot manner, based only on a few user clicks. The synergy between these tools aids in the segmentation of complex 3D datasets from tomography or other imaging techniques, which would otherwise require a laborious manual segmentation process. The source code associated with this article can be found at https://github.com/fsemerar/SlicerTomoSAM