Publicación:
Automatic classification of pediatric pneumonia based on lung ultrasound pattern recognition
Automatic classification of pediatric pneumonia based on lung ultrasound pattern recognition
| dc.contributor.author | Correa M. | es_PE |
| dc.contributor.author | Zimic M. | es_PE |
| dc.contributor.author | Barrientos F. | es_PE |
| dc.contributor.author | Barrientos R. | es_PE |
| dc.contributor.author | Román-Gonzalez A. | es_PE |
| dc.contributor.author | Pajuelo M.J. | es_PE |
| dc.contributor.author | Anticona C. | es_PE |
| dc.contributor.author | Mayta H. | es_PE |
| dc.contributor.author | Alva A. | es_PE |
| dc.contributor.author | Solis-Vasquez L. | es_PE |
| dc.contributor.author | Figueroa D.A. | es_PE |
| dc.contributor.author | Chavez M.A. | es_PE |
| dc.contributor.author | Lavarello R. | es_PE |
| dc.contributor.author | Castañeda B. | es_PE |
| dc.contributor.author | Paz-Soldán V.A. | es_PE |
| dc.contributor.author | Checkley W. | es_PE |
| dc.contributor.author | Gilman R.H. | es_PE |
| dc.contributor.author | Oberhelman R. | es_PE |
| dc.date.accessioned | 2024-05-30T23:13:38Z | |
| dc.date.available | 2024-05-30T23:13:38Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | Pneumonia is one of the major causes of child mortality, yet with a timely diagnosis, it is usually curable with antibiotic therapy. In many developing regions, diagnosing pneumonia remains a challenge, due to shortages of medical resources. Lung ultrasound has proved to be a useful tool to detect lung consolidation as evidence of pneumonia. However, diagnosis of pneumonia by ultrasound has limitations: it is operator-dependent, and it needs to be carried out and interpreted by trained personnel. Pattern recognition and image analysis is a potential tool to enable automatic diagnosis of pneumonia consolidation without requiring an expert analyst. This paper presents a method for automatic classification of pneumonia using ultrasound imaging of the lungs and pattern recognition. | |
| dc.description.sponsorship | Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec | |
| dc.identifier.doi | https://doi.org/10.1371/journal.pone.0206410 | |
| dc.identifier.scopus | 2-s2.0-85058064971 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12390/534 | |
| dc.language.iso | eng | |
| dc.publisher | Public Library of Science | |
| dc.relation.ispartof | PLOS ONE | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | male | |
| dc.subject | Article | es_PE |
| dc.subject | artificial neural network | es_PE |
| dc.subject | automation | es_PE |
| dc.subject | child | es_PE |
| dc.subject | clinical article | es_PE |
| dc.subject | controlled study | es_PE |
| dc.subject | digital imaging | es_PE |
| dc.subject | disease classification | es_PE |
| dc.subject | echography | es_PE |
| dc.subject | female | es_PE |
| dc.subject | human | es_PE |
| dc.subject | image analysis | es_PE |
| dc.subject | image processing | es_PE |
| dc.subject | infant | es_PE |
| dc.subject | lung infiltrate | es_PE |
| dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#3.02.00 | |
| dc.title | Automatic classification of pediatric pneumonia based on lung ultrasound pattern recognition | |
| dc.type | info:eu-repo/semantics/article | |
| dspace.entity.type | Publication | |
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