Deep learning-based detection and quantification of brain metastases on black-blood imaging can provide treatment suggestions: a clinical cohort study.
| Publicado en: | European Radiology Vol. 34; no. 3; pp. 2062 - 2072 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Mar2024
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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=175530214&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 175530214 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Mar2024 vid: 34 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 175530214 171306952 10.1007/s00330-023-10120-5 175530214 ppf: 2062 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Deep learning-based detection and quantification of brain metastases on black-blood imaging can provide treatment suggestions: a clinical cohort study. aug: au: Jeong, Hana Park, Ji Eun Kim, NakYoung Yoon, Shin-Kyo Kim, Ho Sung affil: Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 43 Olympic-ro 88, Songpa-Gu, 05505, Seoul, Korea sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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