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Reference TypeConference Proceedings
Sitesibgrapi.sid.inpe.br
Repositorysid.inpe.br/sibgrapi@80/2007/09.19.00.20
Last Update2007:09.19.00.20.10 administrator
Metadatasid.inpe.br/sibgrapi@80/2007/09.19.00.20.11
Metadata Last Update2020:02.19.03.06.19 administrator
Citation KeyTaralloGonzFrad:2007:PrDiIm
TitleProcessing of Digital Images of Cutaneous Ulcers Through Artificial Neural Network
FormatOn-line
Year2007
DateOct. 7-10, 2007
Access Date2020, Dec. 01
Number of Files1
Size151 KiB
Context area
Author1 Tarallo, André de Souza
2 Gonzaga, Adilson
3 Frade, Marco Andrey Cipriani
Affiliation1 USP
2 USP
3 USP
EditorGonçalves, Luiz
Wu, Shin Ting
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
Conference LocationBelo Horizonte
Book TitleProceedings
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
History2008-07-17 14:09:44 :: tarallo@sel.eesc.usp.br -> administrator ::
2009-08-13 20:38:37 :: administrator -> banon ::
2010-08-28 20:02:31 :: banon -> administrator ::
2020-02-19 03:06:19 :: administrator -> :: 2007
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Document Stagecompleted
Transferable1
Content TypeExternal Contribution
Tertiary TypeTechnical Poster
KeywordsLeg Ulcer, Computer Vision, Artificial Neural Network.
AbstractTreatments of leg ulcers are generally make by direct manipulation for analysis of its evolution. The treatment efficiency is observed through the reduction of the size of ulcers in relation to the amount of tissues found in their beds, which are classified as granulated/slough. These results usually are obtained through analyses performed after consultation due to the time these analyses take. This work proposes a new non-invasive technique for the follow-up of treatments aimed at cutaneous ulcers. In this methodology, it was proposed that digital photos of cutaneous ulcers would be submitted to an artificial neural network, so that all surrounding the wound except for the wound itself could be extracted (skin/background), thus obtaining the ulcerated area. Computer vision techniques have been applied in order to classify the different types of tissues in the ulcer bed. The results obtained have been compared with the results obtained by Image J software.
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Languageen
Target FileProcessing of Digital Images of Cutaneous Ulcers Through Artificial Neural Network.pdf
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Mirror Repositorysid.inpe.br/sibgrapi@80/2007/08.02.16.22
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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