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Enos Masini

Biographic Data

ID9073191
NAMEEnos Masini
GIVEN NAMESEnos
FAMILY NAMEMasini
SIGNATUREMASINI E
AFFILIATIONSGlobal Fund to Fight AIDS, Tuberculosis and Malaria
ORCID0000-0001-7522-5528
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Accuracy of computer-aided chest X-ray in community-based tuberculosis screening

    Open Access•Brenda Mungai, Jane Rahedi Ong’ang’o et al.•ARTICLE•PLOS Global Public Health•2022

    Community-based screening for tuberculosis (TB) could improve detection but is resource intensive. We set out to evaluate the accuracy of computer-aided TB screening using digital chest X-ray (CXR) to determine if this approach met target product profiles (TPP) for community-based screening. CXR images from participants in the 2016 Kenya National TB Prevalence Survey were evaluated using CAD4TBv6 (Delft Imaging), giving a probabilistic score for …

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  • Accuracy of computer-aided chest X-ray in community-based tuberculosis screening

    Open Access•Brenda Mungai, Jane Rahedi Ong’ang’o et al.•ARTICLE•PLOS Global Public Health•2022

    Community-based screening for tuberculosis (TB) could improve detection but is resource intensive. We set out to evaluate the accuracy of computer-aided TB screening using digital chest X-ray (CXR) to determine if this approach met target product profiles (TPP) for community-based screening. CXR images from participants in the 2016 Kenya National TB Prevalence Survey were evaluated using CAD4TBv6 (Delft Imaging), giving a probabilistic score for …

Confidence interval (1 work) · COVID-19 diagnosis using AI (1 work) · Credible interval (1 work) · Demographics (1 work) · Demography (1 work) · Internal Medicine (1 work) · Medicine (1 work) · Mycobacterium research and diagnosis (1 work) · Pathology (1 work) · Pulmonary tuberculosis (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae