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Generating Training Data for Ureter Segmentation Using Dual-Energy CT Two-Material Decomposition.

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Title: Generating Training Data for Ureter Segmentation Using Dual-Energy CT Two-Material Decomposition.
Authors: Jung DC; Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Republic of Korea., Lee J; Department of Biomedical Engineering and Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, USA., Lee S; Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Republic of Korea., Jung SI; Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea., Lee MS; Department of Radiology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, 5 Gil 20, Boramae-Road, Dongjak-Gu, Seoul, 07061, Republic of Korea., Moon MH; Department of Radiology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, 5 Gil 20, Boramae-Road, Dongjak-Gu, Seoul, 07061, Republic of Korea. mmhoan@gmail.com.
Source: Journal of imaging informatics in medicine [J Imaging Inform Med] 2026 Jan 26. Date of Electronic Publication: 2026 Jan 26.
Publication Type: Journal Article
Journal Info: Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Jung+DC%22">Jung DC</searchLink>; Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+J%22">Lee J</searchLink>; Department of Biomedical Engineering and Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, USA.<br /><searchLink fieldCode="AU" term="%22Lee+S%22">Lee S</searchLink>; Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Jung+SI%22">Jung SI</searchLink>; Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+MS%22">Lee MS</searchLink>; Department of Radiology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, 5 Gil 20, Boramae-Road, Dongjak-Gu, Seoul, 07061, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Moon+MH%22">Moon MH</searchLink>; Department of Radiology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, 5 Gil 20, Boramae-Road, Dongjak-Gu, Seoul, 07061, Republic of Korea. mmhoan@gmail.com.
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  Data: <searchLink fieldCode="JN" term="%229918663679206676%22">Journal of imaging informatics in medicine</searchLink> [J Imaging Inform Med] 2026 Jan 26. <i>Date of Electronic Publication: </i>2026 Jan 26.
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        Value: 10.1007/s10278-026-01847-w
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            – D: 26
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              Text: 2026 Jan 26
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