Performance evaluation of computer-aided automated master frame selection techniques for fetal echocardiography.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 61; no. 7; pp. 1723 - 1745 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jul2023
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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=164374282&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 164374282 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jul2023 vid: 61 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 164374282 162289410 10.1007/s11517-023-02814-1 164374282 ppf: 1723 ppct: 22 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Performance evaluation of computer-aided automated master frame selection techniques for fetal echocardiography. aug: au: Sriraam N Punyaprabha V Sushma TV Suresh S affil: Centre for Medical Electronics and Computing, M S Ramaiah Institute of Technology, Bangalore, India sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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