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		<citationkey>TaralloGonzFrad:2007:PrDiIm</citationkey>
		<author>Tarallo, André de Souza,</author>
		<author>Gonzaga, Adilson,</author>
		<author>Frade, Marco Andrey Cipriani,</author>
		<affiliation>USP</affiliation>
		<affiliation>USP</affiliation>
		<affiliation>USP</affiliation>
		<title>Processing of Digital Images of Cutaneous Ulcers Through Artificial Neural Network</title>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)</conferencename>
		<year>2007</year>
		<editor>Gonçalves, Luiz,</editor>
		<editor>Wu, Shin Ting,</editor>
		<booktitle>Proceedings</booktitle>
		<date>Oct. 7-10, 2007</date>
		<publisheraddress>Porto Alegre</publisheraddress>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<conferencelocation>Belo Horizonte</conferencelocation>
		<keywords>Leg Ulcer, Computer Vision, Artificial Neural Network.</keywords>
		<abstract>Treatments 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.</abstract>
		<language>en</language>
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