| Author | Barros, George Oliveira | |
| Author | Navarro, Brenda | |
| Author | Duarte, Angelo Amâncio | |
| Author | dosSantos, Washington Luis Conrado | |
| Access date | 2018-02-26T17:50:41Z | |
| Available date | 2018-02-26T17:50:41Z | |
| Document date | 2017 | |
| Citation | BARROS, G. O. et al. PathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneys. Scientific Reports, v. 7, 46769, 2017. | pt_BR |
| ISSN | 2045-2322 | pt_BR |
| URI | https://www.arca.fiocruz.br/handle/icict/24946 | |
| Sponsorship | Support Program for the Diagnosis of Hepatic and Renal Diseases, founded by the Gonçalo Moniz Institute, from the Oswaldo Cruz Foundation, Ministry of Health, Brazil. | pt_BR |
| Language | eng | pt_BR |
| Publisher | Nature Publishing Group | pt_BR |
| Rights | open access | pt_BR |
| Subject in Portuguese | Doenças renais | pt_BR |
| Subject in Portuguese | Nefrologia | pt_BR |
| Subject in Portuguese | Rim | pt_BR |
| Subject in Portuguese | Patologia | pt_BR |
| Subject in Portuguese | Morfologia celular | pt_BR |
| Title | PathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneys | pt_BR |
| Type | Article | pt_BR |
| DOI | 10.1038/srep46769 | |
| Abstract | PathoSpotter is a computational system designed to assist pathologists in teaching about and researching kidney diseases. PathoSpotter-K is the version that was developed to detect nephrological lesions in digital images of kidneys. Here, we present the results obtained using the first version of PathoSpotter-K, which uses classical image processing and pattern recognition methods to detect proliferative glomerular lesions with an accuracy of 88.3 ± 3.6%. Such performance is only achieved by similar systems if they use images of cell in contexts that are much less complex than the glomerular structure. The results indicate that the approach can be applied to the development of systems designed to train pathology students and to assist pathologists in determining large-scale clinicopathological correlations in morphological research. | pt_BR |
| Affilliation | Universidade Estadual de Feira de Santana. Pós-Graduação em Computação Aplicada. Feira de Santana, BA, Brasil. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil. | pt_BR |
| Affilliation | Universidade Estadual de Feira de Santana. Pós-Graduação em Computação Aplicada. Feira de Santana, BA, Brasil. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil. | pt_BR |
| Subject | Kidney diseases | pt_BR |
| Subject | Nephrology | pt_BR |
| Subject | Kidneys | pt_BR |
| Subject | Pathology | pt_BR |
| Subject | Morphology of cell | pt_BR |
| xmlui.metadata.dc.subject.ods | 03 Saúde e Bem-Estar | |
