Cargando…
Robust and Reproducible Quantification of the Extent of Chest Radiographic Abnormalities (And It’s Free!)
RATIONALE: Objective, reproducible quantification of the extent of abnormalities seen on a chest radiograph would improve the user-friendliness of a previously proposed severity scoring system for pulmonary tuberculosis and could be helpful in monitoring response to therapy, including in clinical tr...
Autores principales: | Requena-Méndez, Ana, Aldasoro, Edelweiss, Muñoz, Jose, Moore, David A. J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4440724/ https://www.ncbi.nlm.nih.gov/pubmed/25996917 http://dx.doi.org/10.1371/journal.pone.0128044 |
Ejemplares similares
-
Prevalence of Chagas Disease in Latin-American Migrants Living in Europe: A Systematic Review and Meta-analysis
por: Requena-Méndez, Ana, et al.
Publicado: (2015) -
Reproducibility of abnormality detection on chest radiographs using convolutional neural network in paired radiographs obtained within a short-term interval
por: Cho, Yongwon, et al.
Publicado: (2020) -
Cardiovascular abnormalities in chest radiographs of children with pneumonia, Uganda
por: Nabawanuka, Eva, et al.
Publicado: (2023) -
A robust approach for endotracheal tube localization in chest radiographs
por: Hsu, Chung-Chian, et al.
Publicado: (2023) -
A patient with weakness and an abnormal chest radiograph: A case report
por: van Straaten, A, et al.
Publicado: (2018)