Diagnosis of skull-base invasion by nasopharyngeal tumors on CT with a deep-learning approach.
| Publicado en: | Japanese Journal of Radiology Vol. 42; no. 5; pp. 450 - 460 |
|---|---|
| Autores principales: | , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
May2024
|
| 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=177003486&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 177003486 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 18671071 AUCM jtl: Japanese Journal of Radiology issn: 18671071 maglogo: N pubinfo: dt: May2024 vid: 42 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 177003486 175016506 10.1007/s11604-023-01527-7 177003486 ppf: 450 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Diagnosis of skull-base invasion by nasopharyngeal tumors on CT with a deep-learning approach. aug: au: Nakagawa, Junichi Fujima, Noriyuki Hirata, Kenji Harada, Taisuke Wakabayashi, Naoto Takano, Yuki Homma, Akihiro Kano, Satoshi Minowa, Kazuyuki Kudo, Kohsuke affil: https://ror.org/02e16g702 Department of Diagnostic Imaging, Graduate School of Medicine, Hokkaido University, N15 W7, Kita-Ku, 060-8638, Sapporo, Hokkaido, Japan sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|