Deep learning for automatic volumetric bowel segmentation on body CT images.
| Publicado en: | European Radiology Vol. 35; no. 11; pp. 7307 - 7320 |
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| Autores principales: | , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Nov2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188901861&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188901861 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Nov2025 vid: 35 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 188901861 184859040 10.1007/s00330-025-11623-z 188901861 ppf: 7307 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Deep learning for automatic volumetric bowel segmentation on body CT images. aug: au: Park, Junghoan Park, Sungeun Chung, Han-Jae Lee, Da In Kim, Jong-min Kim, Se Hyung Choe, Eun Kyung Park, Kyu Joo Yoon, Soon Ho affil: https://ror.org/04h9pn542 Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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