@InProceedings{TaralloGonzFrad:2007:PrDiIm,
author = "Tarallo, Andr{\'e} de Souza and Gonzaga, Adilson and Frade, Marco
Andrey Cipriani",
affiliation = "USP and USP and USP",
title = "Processing of Digital Images of Cutaneous Ulcers Through
Artificial Neural Network",
booktitle = "Proceedings...",
year = "2007",
editor = "Gon{\c{c}}alves, Luiz and Wu, Shin Ting",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20.
(SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "Leg Ulcer, Computer Vision, Artificial Neural Network.",
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.",
conference-location = "Belo Horizonte, MG, Brazil",
conference-year = "7-10 Oct. 2007",
language = "en",
ibi = "6qtX3pFwXQZG2LgkFdY/Rv77P",
url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/Rv77P",
targetfile = "Processing of Digital Images of Cutaneous Ulcers Through
Artificial Neural Network.pdf",
urlaccessdate = "2024, May 04"
}