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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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40314787 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deep learning for automatic volumetric bowel segmentation on body CT images. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Park+J%22">Park J</searchLink>; Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Park+S%22">Park S</searchLink>; Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Chung+HJ%22">Chung HJ</searchLink>; AI Center, MEDICAL IP Co., Ltd., Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+DI%22">Lee DI</searchLink>; AI Center, MEDICAL IP Co., Ltd., Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+JM%22">Kim JM</searchLink>; AI Center, MEDICAL IP Co., Ltd., Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+SH%22">Kim SH</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Choe+EK%22">Choe EK</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Park+KJ%22">Park KJ</searchLink>; Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Yoon+SH%22">Yoon SH</searchLink>; Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea. yshoka@gmail.com. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2025 Nov; Vol. 35 (11), pp. 7307-7319. <i>Date of Electronic Publication: </i>2025 May 02. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International%22">Springer International </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9114774 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1084 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209387994%22">09387994 </searchLink><i>NLM ISO Abbreviation: </i>Eur Radiol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40314787 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00330-025-11623-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 7307 Titles: – TitleFull: Deep learning for automatic volumetric bowel segmentation on body CT images. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Park J – PersonEntity: Name: NameFull: Park S – PersonEntity: Name: NameFull: Chung HJ – PersonEntity: Name: NameFull: Lee DI – PersonEntity: Name: NameFull: Kim JM – PersonEntity: Name: NameFull: Kim SH – PersonEntity: Name: NameFull: Choe EK – PersonEntity: Name: NameFull: Park KJ – PersonEntity: Name: NameFull: Yoon SH IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: 2025 Nov Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1432-1084 Numbering: – Type: volume Value: 35 – Type: issue Value: 11 Titles: – TitleFull: European radiology Type: main |
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