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arXiv · 2306.08609

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

Federico Semeraro·Alexandre Quintart·Sergio Fraile Izquierdo·Joseph C. Ferguson
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Abstract

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

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Federico Semeraro, Alexandre Quintart, Sergio Fraile Izquierdo, Joseph C. Ferguson. 2023-06-14. TomoSAM: a 3D Slicer extension using SAM for tomography segmentation. https://arxiv.org/abs/2306.08609

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