@InProceedings{BarrosDuarSant:2015:SiClGl,
author = "Barros, George Oliveira and Duarte, {\^A}ngelo Am{\^a}ncio and
Santos, Washington Luis Conrado dos",
affiliation = "{Programa de P{\'o}s-Gradua{\c{c}}{\~a}o em
Computa{\c{c}}{\~a}o Aplicada - Universidade Estadual de Feira
de Santana} and {Programa de P{\'o}s-Gradua{\c{c}}{\~a}o em
Computa{\c{c}}{\~a}o Aplicada - Universidade Estadual de Feira
de Santana} and {Centro de Pesquisas Gon{\c{c}}alo Muniz -
Funda{\c{c}}{\~a}o Osvaldo Cruz}",
title = "PathoSpotter: Um Sistema para Classifica{\c{c}}{\~a}o de
Glomerulopatias a partir de Imagens Histol{\'o}gicas Renais",
booktitle = "Proceedings...",
year = "2015",
editor = "Rios, Ricardo Araujo and Paiva, Afonso",
organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "kidney histologycal images, nefropatia, image processing, computer
vision, medical image analysis.",
abstract = "This paper describes the current state of the research and
implementation of PathoSpotter-K, a classification system of
glomerulopathies based on histological images from kidney. The
process of identify such pathologies from images requires
pathologists with great expertise in image classification, because
the features of the histological images lead to a subjective
analysis. Currently, the PathoSpotter-K yields classifications
with 67% accuracy. Other improvements are being implemented to
increase the accuracy as also as to collect more images to build a
larger dataset in order to assess robustness of the system.",
conference-location = "Salvador, BA, Brazil",
conference-year = "26-29 Aug. 2015",
language = "pt",
ibi = "8JMKD3MGPBW34M/3JRK2U5",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JRK2U5",
targetfile = "pathospotter.pdf",
urlaccessdate = "2024, Apr. 28"
}