Feature fusion-based ensemble CNN learning optimization for automated detection of pediatric pneumonia

Author:

Kaya MahirORCID

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference70 articles.

1. American Thoracic Society. Top 20 pneumonia facts, 2019. Retrieved from https://www.thoracic.org/patients/patient-resources/resources/top-pneumonia-facts.pdf (accessed on 23.09.2022).

2. World Health Organization, Pneumonia, 2021. Retrieved from https://www.who.int/news-room/fact-sheets/detail/pneumonia (accessed on 22.09.2022).

3. Mortality prediction in community-acquired pneumonia requiring mechanical ventilation: values of pneumonia and intensive care unit severity scores;Aydogdu;Tuberk Toraks,2010

4. World Health Organization, Standardization of interpretation of chest radiographs for the diagnosis of pneumonia in children, 2001. Retrieved from https://apps.who.int/iris/handle/10665/66956 (accessed on 23.09.2022).

5. Accuracy of the interpretation of chest radiographs for the diagnosis of pediatric pneumonia;Elemraid;PLoS One,2014

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