A systematic review of the techniques for automatic segmentation of the human upper airway using volumetric images.
| Published in: | Medical & Biological Engineering & Computing Vol. 61; no. 8; pp. 1901 - 1928 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Aug2023
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=164818238&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 164818238 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Aug2023 vid: 61 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 164818238 163962687 10.1007/s11517-023-02842-x 164818238 ppf: 1901 ppct: 27 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A systematic review of the techniques for automatic segmentation of the human upper airway using volumetric images. aug: au: Maken, Payal Gupta, Abhishek Gupta, Manoj Kumar affil: School of Computer Science and Engineering, Shri Mata Vaishno Devi University, Katra, India sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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