Camera fusion for real-time temperature monitoring of neonates using deep learning.
| Published in: | Medical & Biological Engineering & Computing Vol. 60; no. 6; pp. 1787 - 1801 |
|---|---|
| Main Authors: | , , , , , , , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Jun2022
|
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=156759970&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 156759970 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jun2022 vid: 60 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 156759970 156648052 10.1007/s11517-022-02561-9 156759970 ppf: 1787 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Camera fusion for real-time temperature monitoring of neonates using deep learning. aug: au: Lyra, Simon Rixen, Jöran Heimann, Konrad Karthik, Srinivasa Joseph, Jayaraj Jayaraman, Kumutha Orlikowsky, Thorsten Sivaprakasam, Mohanasankar Leonhardt, Steffen Hoog Antink, Christoph affil: Medical Information Technology, Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, Pauwelsstr. 20, 52074, Aachen, Germany sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|