Cargando…
COVID-19 Deep Learning Prediction Model Using Publicly Available Radiologist-Adjudicated Chest X-Ray Images as Training Data: Preliminary Findings
The key component in deep learning research is the availability of training data sets. With a limited number of publicly available COVID-19 chest X-ray images, the generalization and robustness of deep learning models to detect COVID-19 cases developed based on these images are questionable. We aime...
Autores principales: | Che Azemin, Mohd Zulfaezal, Hassan, Radhiana, Mohd Tamrin, Mohd Izzuddin, Md Ali, Mohd Adli |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439162/ https://www.ncbi.nlm.nih.gov/pubmed/32849861 http://dx.doi.org/10.1155/2020/8828855 |
Ejemplares similares
-
Postsurgery Classification of Best-Corrected Visual Acuity Changes Based on Pterygium Characteristics Using the Machine Learning Technique
por: Jais, Fatin Nabihah, et al.
Publicado: (2021) -
A Method for Visualization of Fine Retinal Vascular Pulsation Using Nonmydriatic Fundus Camera Synchronized with Electrocardiogram
por: Kumar, Dinesh Kant, et al.
Publicado: (2013) -
Influence of Refractive Condition on Retinal Vasculature Complexity in Younger Subjects
por: Che Azemin, Mohd Zulfaezal, et al.
Publicado: (2014) -
Zone Specific Fractal Dimension of Retinal Images as Predictor of Stroke Incidence
por: Aliahmad, Behzad, et al.
Publicado: (2014) -
Corneo-pterygium total area measurements utilising image analysis method
por: Mohd Radzi, Hilmi, et al.
Publicado: (2019)