Cargando…
Computer-aided diagnosis of COVID-19 from chest X-ray images using histogram-oriented gradient features and Random Forest classifier
The decision-making process is very crucial in healthcare, which includes quick diagnostic methods to monitor and prevent the COVID-19 pandemic disease from spreading. Computed tomography (CT) is a diagnostic tool used by radiologists to treat COVID patients. COVID x-ray images have inherent texture...
Autores principales: | Jawahar, Malathy, Prassanna, J., Ravi, Vinayakumar, Anbarasi, L. Jani, Jasmine, S. Graceline, Manikandan, R., Sekaran, Ramesh, Kannan, Suthendran |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9090123/ https://www.ncbi.nlm.nih.gov/pubmed/35572385 http://dx.doi.org/10.1007/s11042-022-13183-6 |
Ejemplares similares
-
CovMnet–Deep Learning Model for classifying Coronavirus (COVID-19)
por: Jawahar, Malathy, et al.
Publicado: (2022) -
Machine learning approach for anxiety and sleep disorders analysis during COVID-19 lockdown
por: Anbarasi, L. Jani, et al.
Publicado: (2022) -
Survival study on deep learning techniques for IoT enabled smart healthcare system
por: Munnangi, Ashok Kumar, et al.
Publicado: (2023) -
Thai Finger-Spelling Recognition Using a Cascaded Classifier Based on Histogram of Orientation Gradient Features
por: Silanon, Kittasil
Publicado: (2017) -
Real-Time Rotation Estimation Using Histograms of Oriented Gradients
por: Bratanič, Blaž, et al.
Publicado: (2014)