AUMENTO DE DESEMPENHO DO MÓDULO DE RECUPERAÇÃO DE IMAGENS PARA O SISTEMA PATHOSPOTTER

De acordo com a Sociedade Brasileira de Nefrologia (SBN), cerca de 850 milhões de pessoas em todo o mundo sofrem de algum tipo de doença renal (Andrade & Tavares, 2020). Entre elas, as doenças glomerulares foram a terceira principal causa de doenças renais primárias no Brasil em 2017, estando atrás somente da hipertensão e da diabetes (Thomé et al., 2019). O diagnóstico das doenças glomerulares é feito através da análise microscópica do rim e necessita de um patologista especialista

PathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneys

Submitted by Ana Maria Fiscina Sampaio ([email protected]) on 2018-02-26T17:32:39Z No. of bitstreams: 1 Barros GO PathoSpotter-K- A computational tool ....pdf: 1449018 bytes, checksum: e7fe5339e3721f90838c5d8956dba903 (MD5)Approved for entry into archive by Ana Maria Fiscina Sampaio ([email protected]) on 2018-02-26T17:50:41Z (GMT) No. of bitstreams: 1 Barros GO PathoSpotter-K- A computational tool ....pdf: 1449018 bytes, checksum: e7fe5339e3721f90838c5d8956dba903 (MD5)Made available in DSpace on 2018-02-26T17:50:41Z (GMT). No. of bitstreams: 1 Barros GO PathoSpotter-K- A computational tool ....pdf: 1449018 bytes, checksum: e7fe5339e3721f90838c5d8956dba903 (MD5) Previous issue date: 2017Support Program for the Diagnosis of Hepatic and Renal Diseases, founded by the Gonçalo Moniz Institute, from the Oswaldo Cruz Foundation, Ministry of Health, Brazil.Universidade Estadual de Feira de Santana. Pós-Graduação em Computação Aplicada. Feira de Santana, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil.Universidade Estadual de Feira de Santana. Pós-Graduação em Computação Aplicada. Feira de Santana, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil.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

Characterisation of microbial attack on archaeological bone

As part of an EU funded project to investigate the factors influencing bone preservation in the archaeological record, more than 250 bones from 41 archaeological sites in five countries spanning four climatic regions were studied for diagenetic alteration. Sites were selected to cover a range of environmental conditions and archaeological contexts. Microscopic and physical (mercury intrusion porosimetry) analyses of these bones revealed that the majority (68%) had suffered microbial attack. Furthermore, significant differences were found between animal and human bone in both the state of preservation and the type of microbial attack present. These differences in preservation might result from differences in early taphonomy of the bones. © 2003 Elsevier Science Ltd. All rights reserved