Reference TypeConference Proceedings
Citation KeyBarrosDuarSant:2015:SiClGl
Author1 Barros, George Oliveira
2 Duarte, Ângelo Amâncio
3 Santos, Washington Luis Conrado dos
Affiliation1 Programa de Pós-Graduação em Computação Aplicada - Universidade Estadual de Feira de Santana
2 Programa de Pós-Graduação em Computação Aplicada - Universidade Estadual de Feira de Santana
3 Centro de Pesquisas Gonçalo Muniz - Fundação Osvaldo Cruz
TitlePathoSpotter: Um Sistema para Classificação de Glomerulopatias a partir de Imagens Histológicas Renais
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
EditorRios, Ricardo Araujo
Paiva, Afonso
Book TitleProceedings
DateAug. 26-29, 2015
Publisher CityPorto Alegre
PublisherSociedade Brasileira de Computação
Conference LocationSalvador
Keywordskidney histologycal images, nefropatia, image processing, computer vision, medical image analysis.
AbstractThis 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.
Tertiary TypeWork in Progress
Size358 KiB
Number of Files1
Target Filepathospotter.pdf
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History2015-07-17 18:31:15 :: -> administrator :: 2015
2016-06-03 21:18:36 :: administrator -> :: 2015
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Access Date2020, Nov. 28