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