nnU-Net-based high-resolution CT features quantification for interstitial lung diseases.
| Publicado en: | European Radiology Vol. 35; no. 11; pp. 7140 - 7150 |
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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=188901876&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188901876 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: 188901876 185017956 10.1007/s00330-025-11649-3 188901876 ppf: 7140 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: nnU-Net-based high-resolution CT features quantification for interstitial lung diseases. aug: au: Lin, Qiuxi Zhang, Ziyi Xiong, Xirui Chen, Xilai Ma, Ting Chen, Yibin Li, Ting Long, Zhenchu Luo, Qun Sun, Yan Jiang, Lihong He, Wei Deng, Yu affil: https://ror.org/00z0j0d77 Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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