Automated Detection and Segmentation of Bone Metastases on Spine MRI Using U-Net: A Multicenter Study.

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Bibliographic Details
Title: Automated Detection and Segmentation of Bone Metastases on Spine MRI Using U-Net: A Multicenter Study.
Authors: Kim DH; Department of Radiology, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea.; College of Medicine, Seoul National University, Seoul, Republic of Korea., Seo J; Department of Radiology, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea.; College of Medicine, Seoul National University, Seoul, Republic of Korea. angellaseo27@gmail.com., Lee JH; Department of Radiology, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea., Jeon ET; Department of Radiology, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea., Jeong D; DEEPNOID Inc., Seoul, Republic of Korea., Chae HD; College of Medicine, Seoul National University, Seoul, Republic of Korea.; Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea., Lee E; College of Medicine, Seoul National University, Seoul, Republic of Korea.; Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea., Kang JH; Department of Radiology, Konkuk University Medical Center, Seoul, Republic of Korea., Choi YH; Department of Physical Medicine and Rehabilitation, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea., Kim HJ; Department of Radiology, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea.; College of Medicine, Seoul National University, Seoul, Republic of Korea., Chai JW; Department of Radiology, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea.; College of Medicine, Seoul National University, Seoul, Republic of Korea.
Source: Korean journal of radiology [Korean J Radiol] 2024 Apr; Vol. 25 (4), pp. 363-373.
Publication Type: Multicenter Study; Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Korean Society of Radiology Country of Publication: Korea (South) NLM ID: 100956096 Publication Model: Print Cited Medium: Internet ISSN: 2005-8330 (Electronic) Linking ISSN: 12296929 NLM ISO Abbreviation: Korean J Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2005-8330
DOI:10.3348/kjr.2023.0671