Deep learning–based algorithm to detect primary hepatic malignancy in multiphase CT of patients at high risk for HCC.
| Publicado en: | European Radiology Vol. 31; no. 9; pp. 7047 - 7058 |
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| Autores principales: | , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Sep2021
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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=152014441&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 152014441 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Sep2021 vid: 31 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 152014441 149349339 10.1007/s00330-021-07803-2 152014441 ppf: 7047 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Deep learning–based algorithm to detect primary hepatic malignancy in multiphase CT of patients at high risk for HCC. aug: au: Kim, Dong Wook Lee, Gaeun Kim, So Yeon Ahn, Geunhwi Lee, June-Goo Lee, Seung Soo Kim, Kyung Won Park, Seong Ho Lee, Yoon Jin Kim, Namkug affil: Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, 05505, 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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