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Design ensemble deep learning model for pneumonia disease classification
2021
International Journal of Multimedia Information Retrieval
With the recent spread of the SARS-CoV-2 virus, computer-aided diagnosis (CAD) has received more attention. The most important CAD application is to detect and classify pneumonia diseases using X-ray images, especially, in a critical period as pandemic of covid-19 that is kind of pneumonia. In this work, we aim to evaluate the performance of single and ensemble learning models for the pneumonia disease classification. The ensembles used are mainly based on fined-tuned versions of
doi:10.1007/s13735-021-00204-7
pmid:33643764
pmcid:PMC7896551
fatcat:pzyozwqndve4jh7dbfr6jsdoay