J
Julia Ignez Salem
Researcher at National Institute of Amazonian Research
Publications - 23
Citations - 330
Julia Ignez Salem is an academic researcher from National Institute of Amazonian Research. The author has contributed to research in topics: Tuberculosis & Sputum. The author has an hindex of 10, co-authored 23 publications receiving 296 citations.
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Proceedings ArticleDOI
Automatic identification of mycobacterium tuberculosis with conventional light microscopy
Marly Guimarães Fernandes Costa,Cicero Ferreira Fernandes Costa Filho,Juliana Ferreguette Sena,Julia Ignez Salem,Mari Otsuka de Lima +4 more
TL;DR: The main contribution of this work was the proposal of the first automatic identification method of tuberculosis bacilli for conventional light microscopy using global adaptive threshold segmentation using Red minus Green (R-G) images from RGB color format.
Journal ArticleDOI
Lay use of amazonian plants for the treatment of tuberculosis
TL;DR: The Brazilian State of Amazonas has a high incidence of Tuberculosis and resistant strains of Mycobacterium tuberculosis are frequently being found in the region, and Chenopodium ambrosioides L, popularly known as Mastruz, was the most commonly used, followed by Caesalpinia ferrea Mart.
Journal ArticleDOI
Molecular characterisation of the causative agents of Cryptococcosis in patients of a tertiary healthcare facility in the state of Amazonas‐Brazil
Ana Karla Lima Freire,Amaury dos Santos Bentes,Ivanete de Lima Sampaio,Ani Beatriz Jackisch Matsuura,Mauricio Morishi Ogusku,Julia Ignez Salem,Bodo Wanke,João Vicente Braga de Souza +7 more
TL;DR: This study revealed the prevalence of the VNI molecular group and provides the first reported observation of theVNII molecular group in the northern region of Brazil.
Proceedings ArticleDOI
Mycobacterium tuberculosis recognition with conventional microscopy
Cícero Ferreira Fernandes Costa-Filho,Pamela C. Levy,Clahildek M. Xavier,Marly Guimarães Fernandes Costa,Luciana B.M. Fujimoto,Julia Ignez Salem +5 more
TL;DR: This paper presents a new method for segmentation of tuberculosis bacillus in conventional sputum smear microscopy, using a feedforward neural network pixel classifier to segment pixels that belong to bacilli from the background.
Journal ArticleDOI
Análise de diferentes primers utilizados na PCR visando ao diagnóstico da tuberculose no Estado do Amazonas
TL;DR: The protocol for processing the clinical samples prior to PCR analysis and the specific primers used to amplify the 123bp IS6110 fragment showed a greater efficiency in diagnosing pulmonary (paucibacillary) tuberculosis in comparison to published data.