Cargando…
Explainable emphysema detection on chest radiographs with deep learning
We propose a deep learning system to automatically detect four explainable emphysema signs on frontal and lateral chest radiographs. Frontal and lateral chest radiographs from 3000 studies were retrospectively collected. Two radiologists annotated these with 4 radiological signs of pulmonary emphyse...
Autores principales: | Çallı, Erdi, Murphy, Keelin, Scholten, Ernst T., Schalekamp, Steven, van Ginneken, Bram |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9333227/ https://www.ncbi.nlm.nih.gov/pubmed/35900979 http://dx.doi.org/10.1371/journal.pone.0267539 |
Ejemplares similares
-
Automated estimation of total lung volume using chest radiographs and deep learning
por: Sogancioglu, Ecem, et al.
Publicado: (2022) -
Deep learning with robustness to missing data: A novel approach to the detection of COVID-19
por: Çallı, Erdi, et al.
Publicado: (2021) -
Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system
por: Murphy, Keelin, et al.
Publicado: (2020) -
COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System
por: Murphy, Keelin, et al.
Publicado: (2020) -
Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans
por: Hendrix, Ward, et al.
Publicado: (2023)