TomoSAM: a 3D Slicer extension using SAM for tomography segmentation
Federico Semeraro Alexandre Quintart Sergio Fraile Izquierdo Joseph C. Ferguson
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