Cargando…
Pediatric pneumonia diagnosis using stacked ensemble learning on multi-model deep CNN architectures
Abstract Pediatric pneumonia has drawn immense awareness due to the high mortality rates over recent years. The acute respiratory infection caused by bacteria, viruses, or fungi infects the lung region and hinders oxygen transport, making breathing difficult due to inflamed or pus and fluid-filled a...
Autores principales: | Arun Prakash, J, Asswin, CR, Ravi, Vinayakumar, Sowmya, V, Soman, KP |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581770/ https://www.ncbi.nlm.nih.gov/pubmed/36281318 http://dx.doi.org/10.1007/s11042-022-13844-6 |
Ejemplares similares
-
Stacked ensemble learning based on deep convolutional neural networks for pediatric pneumonia diagnosis using chest X-ray images
por: Prakash, J. Arun, et al.
Publicado: (2022) -
A multichannel EfficientNet deep learning-based stacking ensemble approach for lung disease detection using chest X-ray images
por: Ravi, Vinayakumar, et al.
Publicado: (2022) -
Multi-Modal Stacking Ensemble for the Diagnosis of Cardiovascular Diseases
por: Yoon, Taeyoung, et al.
Publicado: (2023) -
Deep Multi-Branch CNN Architecture for Early Alzheimer’s Detection from Brain MRIs
por: Mandal, Paul K., et al.
Publicado: (2023) -
StackTHPred: Identifying Tumor-Homing Peptides through GBDT-Based Feature Selection with Stacking Ensemble Architecture
por: Guan, Jiahui, et al.
Publicado: (2023)