PSFHSP-Net: an efficient lightweight network for identifying pubic symphysis-fetal head standard plane from intrapartum ultrasound images.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 62; no. 10; pp. 2975 - 2987 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Oct2024
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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=179506431&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 179506431 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Oct2024 vid: 62 iid: 10 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 179506431 177124139 10.1007/s11517-024-03111-1 179506431 ppf: 2975 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: PSFHSP-Net: an efficient lightweight network for identifying pubic symphysis-fetal head standard plane from intrapartum ultrasound images. aug: au: Qiu, Ruiyu Zhou, Mengqiang Bai, Jieyun Lu, Yaosheng Wang, Huijin affil: https://ror.org/02xe5ns62 Department of Electronic Engineering, College of Information Science and Technology, Jinan University, 510632, Guangzhou, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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