Accessibility settings

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

Applications of AI (338) Imaging Informatics (327) Medical imaging (131) Artificial Intelligence (2333) Tools, Programs and Algorithms (407)

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
Article Authors Cited by (3) Tweetations (4) Metrics

Journals

  1. Chen J, Hu M, Safari M, Sanford R, Ding J, Ghavidel B, Elder E, Roper J, Qiu R, Yang X. Reinforcement learning-guided segment anything model for MRI prostate and dominant intraprostatic lesions auto-segmentation. Physics in Medicine & Biology 2026;71(3):035020 View
  2. Song Z, Yang J, Wang Y. Spot Anything: Subject‐Agnostic Background Matting. IET Image Processing 2026;20(1) View
  3. Sieradzki A, Koszela K, Koszykowski S, Bednarek J, Kurek J. Zero-Shot Vertebral Instance Segmentation on DICOM Spine Radiographs Using Promptable Segment Anything Models. Journal of Clinical Medicine 2026;15(5):2042 View