Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2015: (UTC) administrator
Metadata Last Update2016: (UTC) administrator
Citation KeyBarrosDuarSant:2015:SiClGl
TitlePathoSpotter: Um Sistema para Classificação de Glomerulopatias a partir de Imagens Histológicas Renais
Access Date2021, Dec. 04
Number of Files1
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Context area
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
EditorRios, Ricardo Araujo
Paiva, Afonso
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador
DateAug. 26-29, 2015
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeWork in Progress
History (UTC)2015-07-17 18:31:15 :: -> administrator :: 2015
2016-06-03 21:18:36 :: administrator -> :: 2015
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Keywordskidney histologycal images
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. > SDLA > SIBGRAPI 2015 > PathoSpotter: Um Sistema...
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Next Higher Units8JMKD3MGPBW34M/3K24PF8
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