Evaluating and enhancing the robustness of vision transformers against adversarial attacks in medical imaging.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 63; no. 3; pp. 673 - 691 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Mar2025
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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=183577103&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 183577103 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Mar2025 vid: 63 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 183577103 180452852 10.1007/s11517-024-03226-5 183577103 ppf: 673 ppct: 18 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Evaluating and enhancing the robustness of vision transformers against adversarial attacks in medical imaging. aug: au: Kanca, Elif Ayas, Selen Baykal Kablan, Elif Ekinci, Murat affil: https://ror.org/03z8fyr40 Department of Software Engineering, Karadeniz Technical University, Trabzon, Turkey sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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