3D Segmentation Algorithms for Computerized Tomographic Imaging: a Systematic Literature Review.
This paper presents a systematic literature review concerning 3D segmentation algorithms for computerized tomographic imaging. This analysis covers articles published in the range 2006—March 2018 found in four scientific databases (Science Direct, IEEEXplore, ACM, and PubMed), using the methodology...
| Published in: | Journal of Digital Imaging Vol. 31; no. 6; pp. 799 - 851 |
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| Main Authors: | , , |
| Format: | algorithm diagnostic images pictorial research systematic review tables/charts Journal Article |
| Published: |
Springer Nature
Dec2018
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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=133226234&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 133226234 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Dec2018 vid: 31 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 133226234 133226234 133226234 10.1007/s10278-018-0101-z 133226234 ppf: 799 ppct: 52 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: 3D Segmentation Algorithms for Computerized Tomographic Imaging: a Systematic Literature Review. aug: au: Carvalho, L. E. Sobieranski, A. C. von Wangenheim, A. affil: Graduate Program in Computer Science - Federal University of Santa Catarina, Florianopolis, Brazil sug: subj: Algorithms Tomography, X-Ray Computed Methods Imaging, Three-Dimensional Human Systematic Review PubMed Health Knowledge ab: This paper presents a systematic literature review concerning 3D segmentation algorithms for computerized tomographic imaging. This analysis covers articles published in the range 2006—March 2018 found in four scientific databases (Science Direct, IEEEXplore, ACM, and PubMed), using the methodology for systematic review proposed by Kitchenham. We present the analyzed segmentation methods categorized according to its application, algorithmic strategy, validation, and use of prior knowledge, as well as its general conceptual description. Additionally, we present a general overview, discussions, and further prospects for the 3D segmentation methods applied for tomographic images. pubtype: Academic Journal doctype: algorithm diagnostic images pictorial research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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