Cargando…
Diagnostic Accuracy of Computer-Aided Detection of Pulmonary Tuberculosis in Chest Radiographs: A Validation Study from Sub-Saharan Africa
BACKGROUND: Chest radiography to diagnose and screen for pulmonary tuberculosis has limitations, especially due to inter-reader variability. Automating the interpretation has the potential to overcome this drawback and to deliver objective and reproducible results. The CAD4TB software is a computer-...
Autores principales: | Breuninger, Marianne, van Ginneken, Bram, Philipsen, Rick H. H. M., Mhimbira, Francis, Hella, Jerry J., Lwilla, Fred, van den Hombergh, Jan, Ross, Amanda, Jugheli, Levan, Wagner, Dirk, Reither, Klaus |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4156349/ https://www.ncbi.nlm.nih.gov/pubmed/25192172 http://dx.doi.org/10.1371/journal.pone.0106381 |
Ejemplares similares
-
Pulmonary Aspergilloma: A Treatment Challenge in Sub-Saharan Africa
por: Pohl, Christian, et al.
Publicado: (2013) -
Preservation of sputum samples with cetylpyridinium chloride (CPC) for tuberculosis cultures and Xpert MTB/RIF in a low-income country
por: Hiza, Hellen, et al.
Publicado: (2017) -
The Potential of Artificial Intelligence to Analyze Chest Radiographs for Signs of COVID-19 Pneumonia
por: van Ginneken, Bram
Publicado: (2021) -
Explainable emphysema detection on chest radiographs with deep learning
por: Çallı, Erdi, et al.
Publicado: (2022) -
COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System
por: Murphy, Keelin, et al.
Publicado: (2020)