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Computer automated algorithm to evaluate cavitary lesions in adults with pulmonary tuberculosis

  • Tuberculosis Working Group in Peru
  • Universidad Peruana Cayetano Heredia
  • National Institute of Health
  • University of Utah School of Medicine
  • Johns Hopkins Bloomberg School of Public Health
  • Asociación Benéfica PRISMA
  • Cleveland Clinic Foundation
  • Hospital María Auxiliadora
  • Arzobispo Loayza Hospital
  • Hospital Nacional Daniel Alcides Carrion
  • Hospital Nacional Dos de Mayo
  • Hospital Nacional Hipolito Unanue
  • Imperial College London
  • Instituto Nacional de Salud del Niño San Borja
  • London School of Hygiene and Tropical Medicine
  • Massachusetts General Hospital
  • Massachusetts Institute of Technology
  • Oregon Health and Science University
  • Tufts University
  • Tulane University
  • University of Arizona
  • Virginia Commonwealth University

Research output: Contribution to journalLetterpeer-review

3 Scopus citations
Original languageEnglish
Pages (from-to)E93-E96
JournalJournal of Thoracic Disease
Volume9
Issue number1
DOIs
StatePublished - 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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