CervicoXNet: an automated cervicogram interpretation network.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 61; no. 9; pp. 2405 - 2417 |
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| Autores principales: | , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Sep2023
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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=169849702&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 169849702 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Sep2023 vid: 61 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 169849702 163311183 10.1007/s11517-023-02835-w 169849702 ppf: 2405 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: CervicoXNet: an automated cervicogram interpretation network. aug: au: Nurmaini, Siti Rachmatullah, Muhammad Naufal Agustiansyah, Patiyus Partan, Radiyati Umi Tutuko, Bambang Rini, Dian Palupi Darmawahyuni, Annisa Firdaus, Firdaus Sapitri, Ade Iriani Arum, Akhiar Wista affil: Intelligent System Research Group, Universitas Sriwijaya, Palembang, Indonesia sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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