Cargando…
Development of a convolutional neural network to differentiate among the etiology of similar appearing pathological B lines on lung ultrasound: a deep learning study
OBJECTIVES: Lung ultrasound (LUS) is a portable, low-cost respiratory imaging tool but is challenged by user dependence and lack of diagnostic specificity. It is unknown whether the advantages of LUS implementation could be paired with deep learning (DL) techniques to match or exceed human-level, di...
Autores principales: | Arntfield, Robert, VanBerlo, Blake, Alaifan, Thamer, Phelps, Nathan, White, Matthew, Chaudhary, Rushil, Ho, Jordan, Wu, Derek |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7939003/ https://www.ncbi.nlm.nih.gov/pubmed/33674378 http://dx.doi.org/10.1136/bmjopen-2020-045120 |
Ejemplares similares
-
Enhancing Annotation Efficiency with Machine Learning: Automated Partitioning of a Lung Ultrasound Dataset by View
por: VanBerlo, Bennett, et al.
Publicado: (2022) -
Automation of Lung Ultrasound Interpretation via Deep Learning for the Classification of Normal versus Abnormal Lung Parenchyma: A Multicenter Study
por: Arntfield, Robert, et al.
Publicado: (2021) -
Deep learning approach for automatic out-of-plane needle localisation for semi-automatic ultrasound probe calibration
por: Groves, Leah A., et al.
Publicado: (2019) -
Two chair test: a substitute of 6 min walk test appear cardiopulmonary reserve specific
por: Bhattacharyya, Parthasarathi, et al.
Publicado: (2020) -
Reference equations for pulmonary diffusing capacity using segmented regression show similar predictive accuracy as GAMLSS models
por: Zavorsky, Gerald Stanley, et al.
Publicado: (2022)