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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
Description
ISSN:2948-2933
DOI:10.1007/s10278-026-01847-w