Cargando…
Classification of COVID-19 X-ray images using transfer learning with visual geometrical groups and novel sequential convolutional neural networks
COVID-19 is a highly transmissible infectious disease that remains a substantial challenge. The utilization of chest radiology, particularly X-ray imaging, has proven to be highly effective, easily accessible, and cost-efficient in detecting COVID-19. A dataset named COVID-Xray-5k, consisting of imb...
Autores principales: | Kumar, Sunil, Kumar, Harish |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393783/ https://www.ncbi.nlm.nih.gov/pubmed/37539339 http://dx.doi.org/10.1016/j.mex.2023.102295 |
Ejemplares similares
-
Convolutional neural networks for the classification of chest X-rays in the IoT era
por: Almezhghwi, Khaled, et al.
Publicado: (2021) -
Osteoporosis diagnosis in knee X-rays by transfer learning based on convolution neural network
por: Wani, Insha Majeed, et al.
Publicado: (2022) -
Advanced Meta-Heuristics, Convolutional Neural Networks, and Feature Selectors for Efficient COVID-19 X-Ray Chest Image Classification
Publicado: (2021) -
Effective Utilization of Multiple Convolutional Neural Networks for Chest X-Ray Classification
por: Rammuni Silva, Ravidu Suien, et al.
Publicado: (2022) -
Classification and Visualization of Alzheimer’s Disease using Volumetric Convolutional Neural Network and Transfer Learning
por: Oh, Kanghan, et al.
Publicado: (2019)