PneuNet: deep learning for COVID-19 pneumonia diagnosis on chest X-ray image analysis using Vision Transformer.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 61; no. 6; pp. 1395 - 1409 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jun2023
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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=163729119&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 163729119 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jun2023 vid: 61 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 163729119 161602531 10.1007/s11517-022-02746-2 163729119 ppf: 1395 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: PneuNet: deep learning for COVID-19 pneumonia diagnosis on chest X-ray image analysis using Vision Transformer. aug: au: Wang, Tianmu Nie, Zhenguo Wang, Ruijing Xu, Qingfeng Huang, Hongshi Xu, Handing Xie, Fugui Liu, Xin-Jun affil: Department of Mechanical Engineering, Tsinghua University, 100084, Beijing, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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