Deep learning for automatic volumetric bowel segmentation on body CT images.
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| Title: | Deep learning for automatic volumetric bowel segmentation on body CT images. |
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| Authors: | Park J; Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea., Park S; Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea., Chung HJ; AI Center, MEDICAL IP Co., Ltd., Seoul, Republic of Korea., Lee DI; AI Center, MEDICAL IP Co., Ltd., Seoul, Republic of Korea., Kim JM; AI Center, MEDICAL IP Co., Ltd., Seoul, Republic of Korea., Kim SH; Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea., Choe EK; Healthcare Research Institute, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Republic of Korea.; Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea., Park KJ; Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea., Yoon SH; Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea. yshoka@gmail.com. |
| Source: | European radiology [Eur Radiol] 2025 Nov; Vol. 35 (11), pp. 7307-7319. Date of Electronic Publication: 2025 May 02. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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