1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW34M/3JRK2U5 |
Repository | sid.inpe.br/sibgrapi/2015/07.13.14.11 |
Last Update | 2015:07.13.14.11.14 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2015/07.13.14.11.14 |
Metadata Last Update | 2022:05.18.22.20.58 (UTC) administrator |
Citation Key | BarrosDuarSant:2015:SiClGl |
Title | PathoSpotter: Um Sistema para Classificação de Glomerulopatias a partir de Imagens Histológicas Renais |
Format | On-line |
Year | 2015 |
Access Date | 2024, May 09 |
Number of Files | 1 |
Size | 358 KiB |
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2. Context | |
Author | 1 Barros, George Oliveira 2 Duarte, Ângelo Amâncio 3 Santos, Washington Luis Conrado dos |
Affiliation | 1 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 |
Editor | Rios, Ricardo Araujo Paiva, Afonso |
e-Mail Address | geogobgob@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 28 (SIBGRAPI) |
Conference Location | Salvador, BA, Brazil |
Date | 26-29 Aug. 2015 |
Publisher | Sociedade Brasileira de Computação |
Publisher City | Porto Alegre |
Book Title | Proceedings |
Tertiary Type | Work in Progress |
History (UTC) | 2015-07-17 18:31:15 :: geogobgob@gmail.com -> administrator :: 2015 2022-05-18 22:20:58 :: administrator -> :: 2015 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
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. |
Arrangement | urlib.net > SDLA > Fonds > SIBGRAPI 2015 > PathoSpotter: Um Sistema... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPBW34M/3JRK2U5 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3JRK2U5 |
Language | pt |
Target File | pathospotter.pdf |
User Group | administrator geogobgob@gmail.com |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPBW34M/3K24PF8 |
Citing Item List | sid.inpe.br/sibgrapi/2015/08.03.22.49 9 sid.inpe.br/banon/2001/03.30.15.38.24 2 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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