Resumen
The WHO (World Health Organization) has updated a publication where they discuss the topic of Covid-19 vaccination for children, and in this document, they mention the vulnerability that this illness has caused among children under the age of 5, exposing them to a higher risk of other diseases such as pneumonia. For this reason, this research is focused on the early detection of pneumonia using children’s chest X-rays and the implementation of artificial intelligence. CNN (Convolutional Neural Network) is the best tool to use as an image processor for the chest X-rays, hence a variety of deep learning techniques were used such as VGG16, VGG16-W VGG19, VGG19-W HT, ResNet50, ResNet50-W, MobileNet, and MobileNet-W. To enhance the accuracy of these deep learning techniques, transfer learning, and hyperparameters were applied to the training process. As a result of this research, we’ve obtained an accuracy of 0.9684 and a loss of 0.0793, and hope that with this research we can help the medical areas in the early detection of pneumonia and save doctors time.
Idioma original | Inglés |
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Título de la publicación alojada | Information Technology and Systems - ICITS 2023 |
Editores | Álvaro Rocha, Carlos Ferrás, Waldo Ibarra |
Editorial | Springer Science and Business Media Deutschland GmbH |
Páginas | 263-272 |
Número de páginas | 10 |
ISBN (versión impresa) | 9783031332579 |
DOI | |
Estado | Publicada - 2023 |
Evento | International Conference on Information Technology and Systems, ICITS 2023 - Cusco, Perú Duración: 24 abr. 2023 → 26 abr. 2023 |
Serie de la publicación
Nombre | Lecture Notes in Networks and Systems |
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Volumen | 691 LNNS |
ISSN (versión impresa) | 2367-3370 |
ISSN (versión digital) | 2367-3389 |
Conferencia
Conferencia | International Conference on Information Technology and Systems, ICITS 2023 |
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País/Territorio | Perú |
Ciudad | Cusco |
Período | 24/04/23 → 26/04/23 |
Nota bibliográfica
Publisher Copyright:© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.