Deep learning model based on contrast-enhanced ultrasound for predicting early recurrence after thermal ablation of colorectal cancer liver metastasis.
| Publicado en: | European Radiology Vol. 33; no. 3; pp. 1895 - 1906 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Mar2023
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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=161963615&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 161963615 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Mar2023 vid: 33 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 161963615 160374037 10.1007/s00330-022-09203-6 161963615 ppf: 1895 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Deep learning model based on contrast-enhanced ultrasound for predicting early recurrence after thermal ablation of colorectal cancer liver metastasis. aug: au: Zhao, Qin-xian He, Xue-lei Wang, Kun Cheng, Zhi-gang Han, Zhi-yu Liu, Fang-yi Yu, Xiao-ling Hui, Zhong Yu, Jie Chao, An Liang, Ping affil: Department of Interventional Ultrasound, Fifth Medical Center of Chinese PLA General Hospital, 28 Fuxing Road, 100853, Beijing, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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