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2023

SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAM

Liu, Yihao, Zhang, Jiaming, She, Zhangcong et al.

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The Segment Anything Model (SAM) is a new image segmentation tool trained with the largest available segmentation dataset.

The model has demonstrated that, with prompts, it can create high-quality masks for general images.
However, the performance of the model on medical images requires further validation.
To assist with the development, assessment, and application of SAM on medical images, we introduce Segment Any Medical Model (SAMM), an extension of SAM on 3D Slicer - an image processing and visualization software extensively used by the medical imaging community.

SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAM · Around

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3d slicer as an image computing platform for the quantitative imaging network
Andriy Fedorov, Reinhard Beichel, Jayashree Kalpathy-Cramer, Julien Finet, Jean-Christophe Fillion-Robin, Sonia Pujol, Christian Bauer, Dominique Jennings, Fiona Fennessy, Milan Sonka, John Buatti, Stephen Aylward, James V. Miller, Steve Pieper, and Ron Kikinis · 2012
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ZeroMQ: Messaging for Many Applications
Pieter Hintjens · 2013
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Multi-scale self-guided attention for medical image segmentation
Ashish Sinha and Jose Dolz · 2020
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