No Cover Image

Journal article 1057 views

Scar tissue classification using nonlinear optical microscopy and discriminant analysis

Timothy Andrew Kelf, Martin Gosnell, Bjornar Sandnes Orcid Logo, Anna E Guller, Anatoly B Shekhter, Andrei V Zvyagin

Journal of Biophotonics, Volume: 5, Issue: 2, Pages: 159 - 167

Swansea University Author: Bjornar Sandnes Orcid Logo

Full text not available from this repository: check for access using links below.

Check full text

DOI (Published version): 10.1002/jbio.201100075

Published in: Journal of Biophotonics
ISSN: 1864-063X
Published: 2012
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa13098
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2013-11-06T02:54:43Z
last_indexed 2018-02-09T04:43:37Z
id cronfa13098
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2016-08-17T14:04:20.7117994</datestamp><bib-version>v2</bib-version><id>13098</id><entry>2013-09-03</entry><title>Scar tissue classification using nonlinear optical microscopy and discriminant analysis</title><swanseaauthors><author><sid>61c7c04b5c804d9402caf4881e85234b</sid><ORCID>0000-0002-4854-5857</ORCID><firstname>Bjornar</firstname><surname>Sandnes</surname><name>Bjornar Sandnes</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2013-09-03</date><deptcode>CHEG</deptcode><abstract></abstract><type>Journal Article</type><journal>Journal of Biophotonics</journal><volume>5</volume><journalNumber>2</journalNumber><paginationStart>159</paginationStart><paginationEnd>167</paginationEnd><publisher/><issnPrint>1864-063X</issnPrint><keywords/><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2012</publishedYear><publishedDate>2012-12-31</publishedDate><doi>10.1002/jbio.201100075</doi><url/><notes>The paper demonstrated a novel automated procedure for classification of human scars according to maturation stage, achieving accuracy as high as 96%. Non-linear optical microscopy was used to isolate the characteristic collagen morphologies, and image analysis combined with discriminant analysis and genetic algorithms were used to identify and classify the scar types. The methodology holds promise for express scar diagnosis, deemed especially useful in the paediatric practices. The paper further demonstrates the first use of unbiased computer based methods to probe the heterogeneous composite scar tissue organization.</notes><college>COLLEGE NANME</college><department>Chemical Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>CHEG</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2016-08-17T14:04:20.7117994</lastEdited><Created>2013-09-03T06:41:30.0000000</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Chemical Engineering</level></path><authors><author><firstname>Timothy Andrew</firstname><surname>Kelf</surname><order>1</order></author><author><firstname>Martin</firstname><surname>Gosnell</surname><order>2</order></author><author><firstname>Bjornar</firstname><surname>Sandnes</surname><orcid>0000-0002-4854-5857</orcid><order>3</order></author><author><firstname>Anna E</firstname><surname>Guller</surname><order>4</order></author><author><firstname>Anatoly B</firstname><surname>Shekhter</surname><order>5</order></author><author><firstname>Andrei V</firstname><surname>Zvyagin</surname><order>6</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2016-08-17T14:04:20.7117994 v2 13098 2013-09-03 Scar tissue classification using nonlinear optical microscopy and discriminant analysis 61c7c04b5c804d9402caf4881e85234b 0000-0002-4854-5857 Bjornar Sandnes Bjornar Sandnes true false 2013-09-03 CHEG Journal Article Journal of Biophotonics 5 2 159 167 1864-063X 31 12 2012 2012-12-31 10.1002/jbio.201100075 The paper demonstrated a novel automated procedure for classification of human scars according to maturation stage, achieving accuracy as high as 96%. Non-linear optical microscopy was used to isolate the characteristic collagen morphologies, and image analysis combined with discriminant analysis and genetic algorithms were used to identify and classify the scar types. The methodology holds promise for express scar diagnosis, deemed especially useful in the paediatric practices. The paper further demonstrates the first use of unbiased computer based methods to probe the heterogeneous composite scar tissue organization. COLLEGE NANME Chemical Engineering COLLEGE CODE CHEG Swansea University 2016-08-17T14:04:20.7117994 2013-09-03T06:41:30.0000000 Faculty of Science and Engineering School of Engineering and Applied Sciences - Chemical Engineering Timothy Andrew Kelf 1 Martin Gosnell 2 Bjornar Sandnes 0000-0002-4854-5857 3 Anna E Guller 4 Anatoly B Shekhter 5 Andrei V Zvyagin 6
title Scar tissue classification using nonlinear optical microscopy and discriminant analysis
spellingShingle Scar tissue classification using nonlinear optical microscopy and discriminant analysis
Bjornar Sandnes
title_short Scar tissue classification using nonlinear optical microscopy and discriminant analysis
title_full Scar tissue classification using nonlinear optical microscopy and discriminant analysis
title_fullStr Scar tissue classification using nonlinear optical microscopy and discriminant analysis
title_full_unstemmed Scar tissue classification using nonlinear optical microscopy and discriminant analysis
title_sort Scar tissue classification using nonlinear optical microscopy and discriminant analysis
author_id_str_mv 61c7c04b5c804d9402caf4881e85234b
author_id_fullname_str_mv 61c7c04b5c804d9402caf4881e85234b_***_Bjornar Sandnes
author Bjornar Sandnes
author2 Timothy Andrew Kelf
Martin Gosnell
Bjornar Sandnes
Anna E Guller
Anatoly B Shekhter
Andrei V Zvyagin
format Journal article
container_title Journal of Biophotonics
container_volume 5
container_issue 2
container_start_page 159
publishDate 2012
institution Swansea University
issn 1864-063X
doi_str_mv 10.1002/jbio.201100075
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Chemical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Chemical Engineering
document_store_str 0
active_str 0
published_date 2012-12-31T03:15:00Z
_version_ 1763750236405104640
score 11.016392

Similar Items