Multilayer perceptron deep learning radiomics model based on Gd-BOPTA MRI to identify vessels encapsulating tumor clusters in hepatocellular carcinoma: a multi-center study.
| Publicado en: | Cancer Imaging Vol. 25; no. 1; pp. 1 - 15 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
BioMed Central
7/7/2025
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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=186466521&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 186466521 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 17405025 5055 jtl: Cancer Imaging issn: 17405025 maglogo: N pubinfo: dt: 7/7/2025 vid: 25 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 186466521 10.1186/s40644-025-00895-9 186466521 ppf: 1 ppct: 14 formats: tig: atl: Multilayer perceptron deep learning radiomics model based on Gd-BOPTA MRI to identify vessels encapsulating tumor clusters in hepatocellular carcinoma: a multi-center study. aug: au: Gu, Mengting Zou, Wenjie Chen, Huilin He, Ruilin Zhao, Xingyu Jia, Ningyang Liu, Wanmin Wang, Peijun affil: https://ror.org/03rc6as71 Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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