This paper is in the following e-collection/theme issue:

Applications of AI (229) Imaging Informatics (272) Medical imaging (86) Artificial Intelligence (1958) Tools, Programs and Algorithms (351)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72109, first published .
Using Segment Anything Model 2 for Zero-Shot 3D Segmentation of Abdominal Organs in Computed Tomography Scans to Adapt Video Tracking Capabilities for 3D Medical Imaging: Algorithm Development and Validation

Using Segment Anything Model 2 for Zero-Shot 3D Segmentation of Abdominal Organs in Computed Tomography Scans to Adapt Video Tracking Capabilities for 3D Medical Imaging: Algorithm Development and Validation

Using Segment Anything Model 2 for Zero-Shot 3D Segmentation of Abdominal Organs in Computed Tomography Scans to Adapt Video Tracking Capabilities for 3D Medical Imaging: Algorithm Development and Validation

Authors of this article:

Yosuke Yamagishi1 Author Orcid Image ;   Shouhei Hanaoka1, 2 Author Orcid Image ;   Tomohiro Kikuchi3, 4 Author Orcid Image ;   Takahiro Nakao4 Author Orcid Image ;   Yuta Nakamura4 Author Orcid Image ;   Yukihiro Nomura4, 5 Author Orcid Image ;   Soichiro Miki4 Author Orcid Image ;   Takeharu Yoshikawa4 Author Orcid Image ;   Osamu Abe1, 2 Author Orcid Image
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